MIT Laboratory for Computational Physiology

Research Publications

2025

Raising awareness of potential biases in medical machine learning: Experience from a Datathon
H Hochheiser, J Klug, T Mathie, TJ Pollard, JD Raffa, SL Ballard, ...
PLOS Digital Health 4 (7), e0000932, 2025
BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP
T Sounack, J Davis, B Durieux, A Chaffin, TJ Pollard, E Lehman, ...
arXiv preprint arXiv:2506.10896, 2025
MIMIC-IV, a freely accessible electronic health record dataset. Sci Data. 2023; 10: 1
AEW Johnson, L Bulgarelli, L Shen, A Gayles, A Shammout, S Horng, ...
Physical Restraint Use in a US Intensive Care Setting–Protocol for a retrospective cross-sectional analysis using the MIMIC-IV repository
M Lange, LA Celi, B Carter, JD Raffa, SC O’Donoghue, TJ Pollard
medRxiv, 2025.04. 23.25326294, 2025
882: PERFORMANCE OF THE GLOBAL OPEN SOURCE SEVERITY OF ILLNESS SCORE AT A QUATERNARY CHILDREN’S HOSPITAL
S Nutman, J Klug, C Bitler, H Hochheiser, J Raffa, T Pollard, LA Celi, ...
Critical Care Medicine 53 (1), 2025
1351: EARLY USE OF CRITICAL CARE DIGITAL QUALITY MEASURES ARE ASSOCIATED WITH DECREASED VENTILATOR DAYS
C Horvat, J Klug, R Li, J Raffa, T Pollard, L Celi, M Plovock, K Emanuele, ...
Critical Care Medicine 53 (1), 2025
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations
JE Alderman, J Palmer, E Laws, MD McCradden, J Ordish, M Ghassemi, ...
The Lancet Digital Health 7 (1), e64-e88, 2025
Health Data Nexus: an open data platform for AI research and education in medicine
J Adams, R Cymerys, K Szuster, D Hekman, Z Salo, R Solanki, ...
GigaScience 14, giaf050, 2025
Center for Open Science NSF 21-511 AccelNet-Implementation: Community of Open Science Grassroots Networks (COSGN) Project Summary
BA Nosek, KS Corker, T Krall, FL Grasty, REB Iii, DT Mellor, S van Tuyl, ...
Deep learning-enabled electrocardiogram assessment of valvular heart disease
A Cinq-Mars, T Carbonati, L Fiorina, A Neylon, P Porquet, A Nguyen, ...
European Heart Journal-Cardiovascular Imaging 26 (Supplement_1), jeae333. 001, 2025

2024

TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
GS Collins, KGM Moons, P Dhiman, RD Riley, AL Beam, B Van Calster, ...
bmj 385, 2024
Mimic-cxr database
A Johnson, T Pollard, R Mark, S Berkowitz, S Horng
PhysioNet10 13026, C2JT1Q, 2024
Medical event data standard (MEDS): Facilitating machine learning for health
B Arnrich, E Choi, JA Fries, MBA McDermott, J Oh, T Pollard, N Shah, ...
ICLR 2024 Workshop on Learning from Time Series For Health, 03-08, 2024
Use of artificial intelligence in improving outcomes in heart disease: a scientific statement from the American Heart Association
AA Armoundas, SM Narayan, DK Arnett, K Spector-Bagdady, DA Bennett, ...
Circulation 149 (14), e1028-e1050, 2024
G-transformer: Counterfactual outcome prediction under dynamic and time-varying treatment regimes
H Xiong, F Wu, L Deng, M Su, Z Shahn, LH Lehman
Proceedings of machine learning research 252, https://proceedings. mlr …, 2024
Deep neural networks detect regional wall motion abnormalities and preclinical cardiovascular disease from 12-lead ECGs
T Carbonati, P Eslami, JW Waks, L Fiorina, A Chaudhari, C Henry, ...
medRxiv, 2024
Meds decentralized, extensible validation (meds-dev) benchmark: Establishing reproducibility and comparability in ml for health
A Kolo, C Pang, E Choi, E Steinberg, H Jeong, J Gallifant, JA Fries, ...
Machine Learning For Health Confernce, 2024
Conference on Health, Inference, and Learning (CHIL) 2024
T Pollard, E Choi, P Singhal, MC Hughes, E Sizikova, BJ Mortazavi, ...
Proceedings of Machine Learning Research 248, 1-6, 2024
MIMIC-IV-ECG & MIMIC-IV-ECHO: DETECTION OF REGIONAL WALL MOTION ABNORMALITIES FROM ELECTROCARDIOGRAM USING DEEP LEARNING
T Carbonati, P Eslami, A Chaudhari, E Herbst, L Fiorina, P Porquet, ...
Journal of the American College of Cardiology 83 (13_Supplement), 1172-1172, 2024
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study
T Zack, E Lehman, M Suzgun, JA Rodriguez, LA Celi, J Gichoya, ...
The Lancet Digital Health 6 (1), e12-e22, 2024
The effect of using a large language model to respond to patient messages
S Chen, M Guevara, S Moningi, F Hoebers, H Elhalawani, BH Kann, ...
The Lancet Digital Health 6 (6), e379-e381, 2024
Peer review of GPT-4 technical report and systems card
J Gallifant, A Fiske, YA Levites Strekalova, JS Osorio-Valencia, R Parke, ...
PLOS digital health 3 (1), e0000417, 2024
INSPIRE, a publicly available research dataset for perioperative medicine
L Lim, H Lee, CW Jung, D Sim, X Borrat, TJ Pollard, LA Celi, RG Mark, ...
Scientific Data 11 (1), 655, 2024
EHRCon: Dataset for checking consistency between unstructured notes and structured tables in electronic health records
Y Kwon, J Kim, G Lee, S Bae, D Kyung, W Cha, T Pollard, A Johnson, ...
Advances in Neural Information Processing Systems 37, 89334-89345, 2024
A reinforcement learning model for optimal treatment strategies in intensive care: assessment of the role of cardiorespiratory features
C Drudi, M Mollura, HL Li-wei, R Barbieri
IEEE Open Journal of Engineering in Medicine and Biology 5, 806-815, 2024

2023

Generalized image embeddings for the mimic chest x-ray dataset
A Sellergren, A Kiraly, T Pollard, WH Weng, Y Liu, A Uddin, C Chen
PhysioNet, 2023
Creation and Expansion of a Mixed Patient Intermediate Care Unit to Improve ICU Capacity
EA Kistler, E Klatt, JD Raffa, P West, JA Fitzgerald, J Barsamian, S Rollins, ...
Critical Care Explorations 5 (10), e0994, 2023
MIMIC-IV, a freely accessible electronic health record dataset
AEW Johnson, L Bulgarelli, L Shen, A Gayles, A Shammout, S Horng, ...
Scientific data 10 (1), 1, 2023
MIMIC-IV, a freely accessible electronic health record dataset
AEW Johnson, L Bulgarelli, L Shen, A Gayles, A Shammout, S Horng, ...
Scientific data 10 (1), 1, 2023
MIMIC-IV, a freely accessible electronic health record dataset
AEW Johnson, L Bulgarelli, L Shen, A Gayles, A Shammout, S Horng, ...
Scientific data 10 (1), 1, 2023
Ethics of large language models in medicine and medical research
H Li, JT Moon, S Purkayastha, LA Celi, H Trivedi, JW Gichoya
The Lancet Digital Health 5 (6), e333-e335, 2023
ChatGPT passing USMLE shines a spotlight on the flaws of medical education
AB Mbakwe, I Lourentzou, LA Celi, OJ Mechanic, A Dagan
PLOS digital health 2 (2), e0000205, 2023
The promise of digital healthcare technologies
AWK Yeung, A Torkamani, AJ Butte, BS Glicksberg, B Schuller, ...
Frontiers in Public Health 11, 1196596, 2023
Artificial intelligence in cancer research and precision medicine: Applications, limitations and priorities to drive transformation in the delivery of equitable and unbiased care
C Corti, M Cobanaj, EC Dee, C Criscitiello, SM Tolaney, LA Celi, ...
Cancer Treatment Reviews 112, 102498, 2023
Mimic-iv-ecg: Diagnostic electrocardiogram matched subset
B Gow, T Pollard, LA Nathanson, A Johnson, B Moody, C Fernandes, ...
Type: dataset 6, 13-14, 2023
The impact of commercial health datasets on medical research and health-care algorithms
IRI Alberto, NRI Alberto, AK Ghosh, B Jain, S Jayakumar, ...
The Lancet Digital Health 5 (5), e288-e294, 2023
A guide to sharing open healthcare data under the General Data Protection Regulation
JWTM de Kok, MÁA de la Hoz, Y de Jong, V Brokke, PWG Elbers, ...
Scientific data 10 (1), 404, 2023
MIMIC-IV, a freely accessible electronic health record dataset, Sci
AEW Johnson, L Bulgarelli, L Shen, A Gayles, A Shammout, S Horng, ...
Data 1 (0), 1, 2023
In the name of fairness: assessing the bias in clinical record de-identification
Y Xiao, S Lim, TJ Pollard, M Ghassemi
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
Effects of aggressive and conservative strategies for mechanical ventilation liberation
Z Shahn, A Choudhri, B Jung, D Talmor, LH Lehman, E Baedorf-Kassis
Journal of Critical Care 76, 154275, 2023
Forecasting treatment outcomes over time using alternating deep sequential models
F Wu, G Zhao, Y Zhou, X Qian, BK Elias, LH Lehman
IEEE Transactions on Biomedical Engineering 71 (4), 1237-1246, 2023
A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction.
F Wu, G Zhao, X Qian, LWH Lehman
IJCAI, 4912-4920, 2023
VTaC: A benchmark dataset of ventricular tachycardia alarms from ICU monitors
L Lehman, B Moody, H Deep, F Wu, H Saeed, L McCullum, D Perry, ...
Advances in Neural Information Processing Systems 36, 38827-38843, 2023
SNOMED CT Entity Linking Challenge
W Hardman, M Banks, R Davidson, D Truran, NW Ayuningtyas, H Ngo, ...
PhysioNet. Version 1 (0), 2023
A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series
A Wong, S Ge, N Oufattole, A Dejl, M Su, A Saeedi, LH Lehman
arXiv preprint arXiv:2311.09566, 2023
Evaluating the Impact of Social Determinants on Health Prediction
MG Ming Ying Yang, Gloria Hyunjung Kwak, Tom Pollard, Leo Anthony Celi
ACM Conference on Artificial Intelligence, Ethics and Society (AIES), 2023
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
MG Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2023
AI pitfalls and what not to do: mitigating bias in AI
JW Gichoya, K Thomas, LA Celi, N Safdar, I Banerjee, JD Banja, ...
The British Journal of Radiology 96 (1150), 20230023, 2023
Digital literacy as a new determinant of health: a scoping review
MP Arias López, BA Ong, X Borrat Frigola, AL Fernández, RS Hicklent, ...
PLOS Digital Health 2 (10), e0000279, 2023
Evaluating the impact of social determinants on health prediction in the intensive care unit
MY Yang, GH Kwak, T Pollard, LA Celi, M Ghassemi
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 333-350, 2023
Titration of ventilator settings to target driving pressure and mechanical power
EN Baedorf Kassis, S Hu, MY Lu, AEW Johnson, S Bose, MS Schaefer, ...
Respiratory Care 68 (2), 199-207, 2023
Organ Retrieval and Collection of Health Information for Donation (ORCHID)
H Adam, V Suriyakumar, T Pollard, B Moody, J Erickson, G Segal, ...
Evaluating the impact of social determinants on health prediction
MY Yang, GH Kwak, T Pollard, LA Celi, M Ghassemi
arXiv preprint arXiv 2305, 2023
Evaluation of evolving sepsis screening criteria in discriminating suspected sepsis and mortality among adult patients admitted to the intensive care unit
TA Rincon, J Raffa, LA Celi, O Badawi, AEW Johnson, T Pollard, ...
International journal of nursing studies 145, 104529, 2023
Evaluation of evolving sepsis screening criteria in discriminating suspected sepsis and mortality among adult patients admitted to the intensive care unit
TA Rincon, J Raffa, LA Celi, O Badawi, AEW Johnson, T Pollard, ...
International Journal of Nursing Studies 145, 104529, 2023
Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help?
SM Hu, S Horng, SJ Berkowitz, R Liao, RG Krishnan, LH Lehman, ...
2023 Computing in Cardiology (CinC) 50, 1-4, 2023

2022

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
J Feng, RV Phillips, I Malenica, A Bishara, AE Hubbard, LA Celi, ...
NPJ digital medicine 5 (1), 66, 2022
Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review
LA Celi, J Cellini, ML Charpignon, EC Dee, F Dernoncourt, R Eber, ...
PLOS digital health 1 (3), e0000022, 2022
Systematic review and comparison of publicly available ICU data sets—a decision guide for clinicians and data scientists
CM Sauer, TA Dam, LA Celi, M Faltys, MAA de la Hoz, L Adhikari, ...
Critical care medicine 50 (6), e581-e588, 2022
Artificial intelligence in the clinical setting: towards actual implementation of reliable outcome predictions
ST Vistisen, TJ Pollard, S Harris, SM Lauritsen
European Journal of Anaesthesiology| EJA 39 (9), 729-732, 2022
International Comparisons of ICU Performance: A Proposed Approach to Severity Scoring Systems Reply
JD Raffa, AEW Johnson, Z O'Brien, TJ Pollard, RG Mark, LA Celi, ...
CRITICAL CARE MEDICINE 50 (11), E801-E802, 2022
International Comparisons of ICU Performance: A Proposed Approach to Severity Scoring Systems Reply
JD Raffa, AEW Johnson, Z O'Brien, TJ Pollard, RG Mark, LA Celi, ...
CRITICAL CARE MEDICINE 50 (11), E801-E802, 2022
AI recognition of patient race in medical imaging: a modelling study
JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ...
The Lancet Digital Health 4 (6), e406-e414, 2022
Global healthcare fairness: We should be sharing more, not less, data
KP Seastedt, P Schwab, Z O’Brien, E Wakida, K Herrera, PGF Marcelo, ...
PLOS Digital Health 1 (10), e0000102, 2022
A systematic review of federated learning applications for biomedical data
MG Crowson, D Moukheiber, AR Arévalo, BD Lam, S Mantena, A Rana, ...
PLOS Digital Health 1 (5), e0000033, 2022
Waveform database software package (wfdb) for python
C Xie, L McCullum, A Johnson, T Pollard, B Gow, B Moody
PhysioNet, 2022
The global open source severity of illness score (GOSSIS)
JD Raffa, AEW Johnson, Z O’Brien, TJ Pollard, RG Mark, LA Celi, ...
Critical care medicine 50 (7), 1040-1050, 2022
The Global Open Source Severity of Illness Score (GOSSIS)
JD Raffa, AEW Johnson, Z O’Brien, TJ Pollard, RG Mark, LA Celi, ...
Critical Care Medicine 50 (7), 1040-1050, 2022
A contrastive learning approach for ICU false arrhythmia alarm reduction
Y Zhou, G Zhao, J Li, G Sun, X Qian, B Moody, RG Mark, LH Lehman
Scientific reports 12 (1), 4689, 2022
A reinforcement learning application for optimal fluid and vasopressor interventions in septic icu patients
M Mollura, C Drudi, LW Lehman, R Barbieri
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
Knowledge distillation via constrained variational inference
A Saeedi, Y Utsumi, L Sun, K Batmanghelich, L Lehman
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8132-8140, 2022
Optimal fluid and vasopressor interventions in septic icu patients through reinforcement learning model
M Mollura, C Drudi, L Lehman, R Barbieri
2022 Computing in Cardiology (CinC) 498, 1-4, 2022
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
FAIR principles for research software (FAIR4RS principles)
NP Chue Hong, DS Katz, M Barker, AL Lamprecht, C Martinez, ...
Zenodo, 2022
Leveraging electronic health records for data science: common pitfalls and how to avoid them
CM Sauer, LC Chen, SL Hyland, A Girbes, P Elbers, LA Celi
The Lancet Digital Health 4 (12), e893-e898, 2022
Assessment of racial and ethnic differences in oxygen supplementation among patients in the intensive care unit
ER Gottlieb, J Ziegler, K Morley, B Rush, LA Celi
JAMA internal medicine 182 (8), 849-858, 2022
BRAX, Brazilian labeled chest x-ray dataset
EP Reis, JPQ De Paiva, MCB Da Silva, GAS Ribeiro, VF Paiva, ...
Scientific Data 9 (1), 487, 2022
Characterization of physiologic patients' response to fluid interventions in the intensive care unit
M Mollura, C Salerni, L Lehman, R Barbieri
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
PhysioTag: An open-source platform for collaborative annotation of physiological waveforms
L McCullum, H Saeed, B Moody, D Perry, E Gottlieb, T Pollard, XB Frigola, ...
2022 Computing in Cardiology (CinC) 498, 1-4, 2022
Treatment-RSPN: recurrent sum-product networks for sequential treatment regimes
A Dejl, H Deep, J Fei, A Saeedi, LH Lehman
arXiv preprint arXiv:2211.07052, 2022
PhysioTag: An open-source platform for collaborative annotation of physiological waveforms
L McCullum, H Saeed, B Moody, D Perry, E Gottlieb, T Pollard, XB Frigola, ...
2022 Computing in Cardiology (CinC) 498, 1-4, 2022

2021

Mimic-iv (version 1.0)
A Johnson, L Bulgarelli, T Pollard, S Horng, LA Celi, R Mark
PhysioNet 101, e215-e220, 2021
Mimic-iv (version 1.0)
A Johnson, L Bulgarelli, T Pollard, S Horng, LA Celi, R Mark
PhysioNet 101, e215-e220, 2021
Mimic-iv (version 1.0)
A Johnson, L Bulgarelli, T Pollard, S Horng, LA Celi, R Mark
PhysioNet 101, e215-e220, 2021
Mimic-iv-ed
A Johnson, L Bulgarelli, T Pollard, LA Celi, R Mark, S Horng IV
PhysioNet, 2021
Mimic-iv-ed
A Johnson, L Bulgarelli, T Pollard, LA Celi, R Mark, S Horng IV
PhysioNet, 2021
Mimic-iv-ed
A Johnson, L Bulgarelli, T Pollard, LA Celi, R Mark, S Horng IV
PhysioNet, 2021
MIMIC-IV (version 1.0). PhysioNet. 2021
A Johnson, L Bulgarelli, T Pollard, S Horng, LA Celi, R Mark IV
DOI: https://doi. org/10.13026/s6n6-xd98, 2021
DOI
MIMIC-IV (version 1.0). PhysioNet. 2021
A Johnson, L Bulgarelli, T Pollard, S Horng, LA Celi, R Mark IV
DOI: https://doi. org/10.13026/s6n6-xd98, 2021
DOI
MIMIC-IV (version 1.0). PhysioNet. 2021
A Johnson, L Bulgarelli, T Pollard, S Horng, LA Celi, R Mark IV
DOI: https://doi. org/10.13026/s6n6-xd98, 2021
DOI
Equity in essence: a call for operationalising fairness in machine learning for healthcare
JW Gichoya, LG McCoy, LA Celi, M Ghassemi
BMJ health & care informatics 28 (1), e100289, 2021
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
A Peine, A Hallawa, J Bickenbach, G Dartmann, LB Fazlic, A Schmeink, ...
NPJ digital medicine 4 (1), 32, 2021
Chest imagenome dataset for clinical reasoning
JT Wu, NN Agu, I Lourentzou, A Sharma, JA Paguio, JS Yao, EC Dee, ...
arXiv preprint arXiv:2108.00316, 2021
Reading race: AI recognises patient's racial identity in medical images
I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ...
arXiv preprint arXiv:2107.10356, 2021
G-net: a recurrent network approach to g-computation for counterfactual prediction under a dynamic treatment regime
R Li, S Hu, M Lu, Y Utsumi, P Chakraborty, DM Sow, P Madan, J Li, ...
Machine Learning for Health, 282-299, 2021
A novel artificial intelligence based intensive care unit monitoring system: using physiological waveforms to identify sepsis
M Mollura, LWH Lehman, RG Mark, R Barbieri
Philosophical Transactions of the Royal Society A 379 (2212), 20200252, 2021
Is deep reinforcement learning ready for practical applications in healthcare? A sensitivity analysis of duel-DDQN for hemodynamic management in sepsis patients
MY Lu, Z Shahn, D Sow, F Doshi-Velez, LH Lehman
AMIA annual symposium proceedings 2020, 773, 2021
Impact of sex on use of low tidal volume ventilation in invasively ventilated ICU patients—a mediation analysis using two observational cohorts
P Swart, RO Deliberato, AEW Johnson, TJ Pollard, L Bulgarelli, P Pelosi, ...
PLoS One 16 (7), e0253933, 2021
Impact of sex on use of low tidal volume ventilation in invasively ventilated ICU patients—a mediation analysis using two observational cohorts
P Swart, RO Deliberato, AEW Johnson, TJ Pollard, L Bulgarelli, P Pelosi, ...
PLoS One 16 (7), e0253933, 2021
Predicting mortality, thrombus recurrence and persistence in patients with post-acute myocardial infarction left ventricular thrombus
W Yeung, CH Sia, T Pollard, AST Leow, BYQ Tan, R Kaur, TC Yeo, ...
Journal of Thrombosis and Thrombolysis 52 (2), 654-661, 2021
MIMIC-IV demo data in the OMOP Common Data Model
M Kallfelz, A Tsvetkova, T Pollard, M Kwong, G Lipori, V Huser, J Osborn, ...
object Object]. doi 10, 2021
Assessment of sepsis in the ICU by linear and complex characterization of cardiovascular dynamics
M Mollura, LW Lehman, R Barbieri
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
Acute Physiology and Chronic Health Evaluation IV in septic patients with and without cancer
L Neumann, L Bulgarelli, JAS Barnes, H Nabulsi, T Pollard, M Schallom, ...
Critical Care Medicine 49 (1), 640, 2021
Multi-view spatial-temporal graph convolutional networks with domain generalization for sleep stage classification
Z Jia, Y Lin, J Wang, X Ning, Y He, R Zhou, Y Zhou, LH Lehman
IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1977-1986, 2021
Analysis of discrepancies between pulse oximetry and arterial oxygen saturation measurements by race and ethnicity and association with organ dysfunction and mortality
AKI Wong, M Charpignon, H Kim, C Josef, AAH De Hond, JJ Fojas, ...
JAMA network open 4 (11), e2131674-e2131674, 2021
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Medrxiv, 2021.02. 03.21250974, 2021
Real-time prediction of COVID-19 related mortality using electronic health records
P Schwab, A Mehrjou, S Parbhoo, LA Celi, J Hetzel, M Hofer, B Schölkopf, ...
Nature communications 12 (1), 1058, 2021
Data-driven curation process for describing the blood glucose management in the intensive care unit
A Robles Arévalo, JH Maley, L Baker, SM da Silva Vieira, ...
Scientific Data 8 (1), 1-13, 2021
VitalDB: fostering collaboration in anaesthesia research
ST Vistisen, TJ Pollard, J Enevoldsen, TWL Scheeren
British Journal of Anaesthesia 127 (2), 184-187, 2021
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph
PC Kuo, CC Tsai, DM López, A Karargyris, TJ Pollard, AEW Johnson, ...
NPJ digital medicine 4 (1), 25, 2021
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph
PC Kuo, CC Tsai, DM López, A Karargyris, TJ Pollard, AEW Johnson, ...
NPJ digital medicine 4 (1), 25, 2021
Comparing COVID-19 and influenza presentation and trajectory
A Reiner Benaim, JA Sobel, R Almog, S Lugassy, T Ben Shabbat, ...
Frontiers in Medicine 8, 656405, 2021
Long-term overall survival and predictors in Anti–PD-1-naive melanoma patients with brain metastases treated with immune checkpoint inhibitors in the real-world setting: a …
GS Naik, EI Buchbinder, JV Cohen, MP Manos, AEW Johnson, P Bowling, ...
Journal of Immunotherapy 44 (8), 307-318, 2021
Delaying initiation of diuretics in critically ill patients with recent vasopressor use and high positive fluid balance
Z Shahn, LWH Lehman, RG Mark, D Talmor, S Bose
British Journal of Anaesthesia 127 (4), 569-576, 2021
Learning to treat hypotensive episodes in sepsis patients using a counterfactual reasoning framework
R Jeter, LW Lehman, C Josef, S Shashikumar, S Nemati
medRxiv, 2021.03. 03.21252863, 2021

2020

Reinforcement learning for clinical decision support in critical care: comprehensive review
S Liu, KC See, KY Ngiam, LA Celi, X Sun, M Feng
Journal of medical Internet research 22 (7), e18477, 2020
Mimic-iv
A Johnson, L Bulgarelli, T Pollard, S Horng, LA Celi, R Mark
PhysioNet. Available online at: https://physionet. org/content/mimiciv/1.0 …, 2020
Mimic-iv
A Johnson, L Bulgarelli, T Pollard, S Horng, LA Celi, R Mark
PhysioNet. Available online at: https://physionet. org/content/mimiciv/1.0 …, 2020
Mimic-iv
A Johnson, L Bulgarelli, T Pollard, S Horng, LA Celi, R Mark
PhysioNet. Available online at: https://physionet. org/content/mimiciv/1.0 …, 2020
The myth of generalisability in clinical research and machine learning in health care
J Futoma, M Simons, T Panch, F Doshi-Velez, LA Celi
The Lancet Digital Health 2 (9), e489-e492, 2020
What do medical students actually need to know about artificial intelligence?
LG McCoy, S Nagaraj, F Morgado, V Harish, S Das, LA Celi
NPJ digital medicine 3 (1), 86, 2020
Fluid-limiting treatment strategies among sepsis patients in the ICU: a retrospective causal analysis
Z Shahn, NI Shapiro, PD Tyler, D Talmor, LH Lehman
Critical Care 24 (1), 1-9, 2020
Mimic-iv (version 0.4)
J Alistair, B Lucas, P Tom, H Steven, CL Anthony, M R IV
PhysioNet https://doi. org/10 13026, 2020
Mimic-iv
J Alistair, B Lucas, P Tom, H Steven, CL Anthony, M Roger
PhysioNet, 2020
Deidentification of free-text medical records using pre-trained bidirectional transformers
AEW Johnson, L Bulgarelli, TJ Pollard
Proceedings of the ACM conference on health, inference, and learning, 214-221, 2020
Deidentification of free-text medical records using pre-trained bidirectional transformers
AEW Johnson, L Bulgarelli, TJ Pollard
Proceedings of the ACM conference on health, inference, and learning, 214-221, 2020
Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing
M Fernandes, R Mendes, SM Vieira, F Leite, C Palos, A Johnson, ...
PloS one 15 (3), e0229331, 2020
Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing
M Fernandes, R Mendes, SM Vieira, F Leite, C Palos, A Johnson, ...
PloS one 15 (3), e0229331, 2020
Interpretable off-policy evaluation in reinforcement learning by highlighting influential transitions
O Gottesman, J Futoma, Y Liu, S Parbhoo, L Celi, E Brunskill, ...
International Conference on Machine Learning, 3658-3667, 2020
Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing
M Fernandes, R Mendes, SM Vieira, F Leite, C Palos, A Johnson, ...
PLoS One 15 (4), e0230876, 2020
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations
J Li, G Sun, G Zhao, LH Lehman
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 767-774, 2020
Prediction on critically ill patients: the role of “big data”
L Bulgarelli, RO Deliberato, AEW Johnson
Journal of critical care 60, 64-68, 2020
“Yes, but will it work formypatients?” Driving clinically relevant research with benchmark datasets
T Panch, TJ Pollard, H Mattie, E Lindemer, PA Keane, LA Celi
NPJ digital medicine 3 (1), 87, 2020
Prediction of Septic Shock Onset in ICU by Instantaneous Monitoring of Vital Signs*
M Mollura, S Romano, G Mantoan, L Lehman, R Barbieri
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
Smartphone-captured chest X-ray photographs
PC Kuo, C Tsai, DM Lopez, A Karargyris, T Pollard, A Johnson, LA Celi
PhysioNet, 2020
An embedded ethics approach for AI development
S McLennan, A Fiske, LA Celi, R Müller, J Harder, K Ritt, S Haddadin, ...
Nature Machine Intelligence 2 (9), 488-490, 2020
The minimal effect of zinc on the survival of hospitalized patients with COVID-19: an observational study
JS Yao, JA Paguio, EC Dee, HC Tan, A Moulick, C Milazzo, J Jurado, ...
Chest 159 (1), 108, 2020
Data sharing in the era of COVID-19
CV Cosgriff, DK Ebner, LA Celi
The Lancet Digital Health 2 (5), e224, 2020
G-Net: a deep learning approach to G-computation for counterfactual outcome prediction under dynamic treatment regimes
R Li, Z Shahn, J Li, M Lu, P Chakraborty, D Sow, M Ghalwash, ...
arXiv preprint arXiv:2003.10551, 2020
The role of waveform monitoring in sepsis identification within the first hour of intensive care unit stay
M Mollura, G Mantoan, S Romano, LW Lehman, RG Mark, R Barbieri
2020 11th conference of the European study group on cardiovascular …, 2020
Rule-based rough-refined two-step-procedure for real-time premature beat detection in single-lead ECG
Z Cai, J Li, AEW Johnson, X Zhang, Q Shen, J Zhang, C Liu
Physiological Measurement 41 (5), 054004, 2020
Use of a modified tibial plateau levelling osteotomy with double cut and medial crescentic closing wedge osteotomy to treat dogs with cranial cruciate ligament rupture and …
L Vezzoni, S Bazzo, S Boiocchi, A Vezzoni
Veterinary and Comparative Orthopaedics and Traumatology 33 (01), 059-065, 2020
Vasopressin administration is associated with rising serum lactate levels in patients with sepsis
KA Severson, L Ritter-Cox, JD Raffa, LA Celi, WJ Gordon
Journal of intensive care medicine 35 (9), 881-888, 2020
Is deep reinforcement learning ready for practical applications in health-care? A sensitivity analysis of duel-DDQN for sepsis treatment
MY Lu, Z Shahn, D Sow, F Doshi-Velez, LWH Lehman
arXiv preprint arXiv:2005.04301, 2020
NSF 19-501 AccelNet Proposal: Community of Open Scholarship Grassroots Networks (COSGN)
BA Nosek, M Difranco, F Fidler, L Helal, AA Chawaf, D Rutten, ...
Assessment of heart rate variability derived from blood pressure pulse recordings in intensive care unit patients
M Mollura, EM Polo, HL Li-wei, R Barbieri
2020 Computing in Cardiology, 1-4, 2020

2019

Intensive care unit telemedicine in the era of big data, artificial intelligence, and computer clinical decision support systems
RD Kindle, O Badawi, LA Celi, S Sturland
Critical care clinics 35 (3), 483-495, 2019
Predicting vital sign deterioration with artificial intelligence or machine learning
ST Vistisen, AEW Johnson, TWL Scheeren
Journal of clinical monitoring and computing 33 (6), 949-951, 2019
Applying machine learning to continuously monitored physiological data
B Rush, LA Celi, DJ Stone
Journal of clinical monitoring and computing 33 (5), 887-893, 2019
Mimic-cxr-jpg-chest radiographs with structured labels
A Johnson, M Lungren, Y Peng, Z Lu, R Mark, S Berkowitz, S Horng
PhysioNet 101, 215-220, 2019
eICU Collaborative Research Database (version 2.0)
T Pollard, A Johnson, J Raffa, LA Celi, O Badawi, R Mark
PhysioNet. Published online, 2019
DOI
Big data and machine learning in critical care: Opportunities for collaborative research
OC of the Madrid, AN Reiz, FM Sagasti, MÁ González, AB Malpica, ...
Medicina intensiva 43 (1), 52-57, 2019
Big data and machine learning in critical care: opportunities for collaborative research
OC of the Madrid, AN Reiz, FM Sagasti, MÁ González, AB Malpica, ...
Medicina intensiva 43 (1), 52-57, 2019
ICU Collaborative Research Database (Version 2.0)
T Pollard, A Johnson, J Raffa, LA Celi, O Badawi, R Mark
PhysioNet. Published online 10, C2WM1R, 2019
DOI
ICU Collaborative Research Database (Version 2.0)
T Pollard, A Johnson, J Raffa, LA Celi, O Badawi, R Mark
PhysioNet. Published online 10, C2WM1R, 2019
DOI
eICU Collaborative Research Database (version 2.0). PhysioNet
T Pollard, A Johnson, J Raffa, LA Celi, O Badawi, R Mark
eICU Collaborative Research Database (version 2.0). PhysioNet
T Pollard, A Johnson, J Raffa, LA Celi, O Badawi, R Mark
MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports
AEW Johnson, TJ Pollard, SJ Berkowitz, NR Greenbaum, MP Lungren, ...
Scientific data 6 (1), 317, 2019
MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports
AEW Johnson, TJ Pollard, SJ Berkowitz, NR Greenbaum, MP Lungren, ...
Scientific data 6 (1), 317, 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
AEW Johnson, TJ Pollard, NR Greenbaum, MP Lungren, C Deng, Y Peng, ...
arXiv preprint arXiv:1901.07042, 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
AEW Johnson, TJ Pollard, NR Greenbaum, MP Lungren, C Deng, Y Peng, ...
arXiv preprint arXiv:1901.07042, 2019
Guidelines for reinforcement learning in healthcare
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...
Nature medicine 25 (1), 16-18, 2019
The “inconvenient truth” about AI in healthcare
T Panch, H Mattie, LA Celi
NPJ digital medicine 2 (1), 77, 2019
The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data
LA Celi, L Citi, M Ghassemi, TJ Pollard
PloS one 14 (1), e0210232, 2019
Prolonged elevated heart rate and 90-day survival in acutely ill patients: data from the MIMIC-III database
V Sandfort, AEW Johnson, LM Kunz, JD Vargas, DR Rosing
Journal of intensive care medicine 34 (8), 622-629, 2019
SEVERITAS: an externally validated mortality prediction for critically ill patients in low and middle-income countries
RO Deliberato, GG Escudero, L Bulgarelli, AS Neto, SQ Ko, NS Campos, ...
International journal of medical informatics 131, 103959, 2019
Turning the crank for machine learning: ease, at what expense?
TJ Pollard, I Chen, J Wiens, S Horng, D Wong, M Ghassemi, H Mattie, ...
The Lancet Digital Health 1 (5), e198-e199, 2019
An evaluation of the influence of body mass index on severity scoring
RO Deliberato, AS Neto, M Komorowski, DJ Stone, SQ Ko, L Bulgarelli, ...
Critical care medicine 47 (2), 247-253, 2019
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Neural Networks with Clinical Interpretability
U Girkar, R Uchimido, LH Lehman, P Szolovits, L Celi, WH Weng
Circulation Research 125 (Suppl_1), A448-A448, 2019
Complex inter-relationship of body mass index, gender and serum creatinine on survival: exploring the obesity paradox in melanoma patients treated with checkpoint inhibition
GS Naik, SS Waikar, AEW Johnson, EI Buchbinder, R Haq, FS Hodi, ...
Journal for immunotherapy of cancer 7 (1), 89, 2019
The reproducibility crisis in the age of digital medicine
A Stupple, D Singerman, LA Celi
NPJ digital medicine 2 (1), 2, 2019
Impact of intensive care unit discharge delays on patient outcomes: a retrospective cohort study
S Bose, AEW Johnson, A Moskowitz, LA Celi, JD Raffa
Journal of Intensive Care Medicine 34 (11-12), 924-929, 2019
Retaining Privileged Information for Multi-Task Learning
F Tang, C Xiao, F Wang, J Zhou, LH Lehman
Proceddings of the 25th ACM SIGKDD Conference on Knowledge Discovery and …, 2019
Impact of intensive care unit discharge delays on patient outcomes: a retrospective cohort study
S Bose, AEW Johnson, A Moskowitz, LA Celi, JD Raffa
Journal of intensive care medicine 34 (11-12), 924-929, 2019
Normalization of mechanical power to anthropometric indices: impact on its association with mortality in critically ill patients
A Serpa Neto, RO Deliberato, AEW Johnson, TJ Pollard, LA Celi, P Pelosi, ...
Intensive Care Medicine 45 (12), 1835-1837, 2019
Normalization of mechanical power to anthropometric indices: impact on its association with mortality in critically ill patients
A Serpa Neto, RO Deliberato, AEW Johnson, TJ Pollard, LA Celi, P Pelosi, ...
Intensive Care Medicine 45 (12), 1835-1837, 2019
Software citation checklist for developers
NP Chue Hong, A Allen, A Gonzalez-Beltran, A de Waard, AM Smith, ...
FORCE11 Software Citation Implementation Working Group, 2019

2018

The MIMIC Code Repository: enabling reproducibility in critical care research
AEW Johnson, DJ Stone, LA Celi, TJ Pollard
Journal of the American Medical Informatics Association 25 (1), 32-39, 2018
The MIMIC Code Repository: enabling reproducibility in critical care research
AEW Johnson, DJ Stone, LA Celi, TJ Pollard
Journal of the American Medical Informatics Association 25 (1), 32-39, 2018
The MIMIC Code Repository: enabling reproducibility in critical care research
AEW Johnson, DJ Stone, LA Celi, TJ Pollard
Journal of the American Medical Informatics Association 25 (1), 32-39, 2018
Predicting and understanding unexpected respiratory decompensation in critical care using sparse and heterogeneous clinical data
O Ren, AEW Johnson, EP Lehman, M Komorowski, J Aboab, F Tang, ...
2018 IEEE International Conference on Healthcare Informatics (ICHI), 144-151, 2018
Predicting and understanding unexpected respiratory decompensation in critical care using sparse and heterogeneous clinical data
O Ren, AEW Johnson, EP Lehman, M Komorowski, J Aboab, F Tang, ...
2018 IEEE International Conference on Healthcare Informatics (ICHI), 144-151, 2018
The eICU Collaborative Research Database, a freely available multi-center database for critical care research
TJ Pollard, AEW Johnson, JD Raffa, LA Celi, RG Mark, O Badawi
Scientific data 5 (1), 1-13, 2018
The eICU Collaborative Research Database, a freely available multi-center database for critical care research
TJ Pollard, AEW Johnson, JD Raffa, LA Celi, RG Mark, O Badawi
Scientific data 5 (1), 1-13, 2018
The eICU Collaborative Research Database, a freely available multi-center database for critical care research
TJ Pollard, AEW Johnson, JD Raffa, LA Celi, RG Mark, O Badawi
Scientific data 5 (1), 1-13, 2018
The eICU Collaborative Research Database, a freely available multi-center database for critical care research
TJ Pollard, AEW Johnson, JD Raffa, LA Celi, RG Mark, O Badawi
Scientific data 5 (1), 1-13, 2018
A Model-Based Machine Learning Approach to Probing Autonomic Regulation from Nonstationary Vital-Sign Time Series
LH Lehman, RG Mark, S Nemati
IEEE Journal of Biomedical and Health Informatics 22 (1), 56-66, 2018
16: APACHE outcomes across venues: Predicting inpatient mortality using electronic medical record data
C Bryant, A Johnson, K Henson, L Freeseman-Freeman, M Stark, ...
Critical Care Medicine 46 (1), 8, 2018
The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care
M Komorowski, LA Celi, O Badawi, AC Gordon, AA Faisal
Nature medicine 24 (11), 1716-1720, 2018
Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives
S Gehrmann, F Dernoncourt, Y Li, ET Carlson, JT Wu, J Welt, J Foote Jr, ...
PloS one 13 (2), e0192360, 2018
You snooze, you win: the physionet/computing in cardiology challenge 2018
MM Ghassemi, BE Moody, LH Lehman, C Song, Q Li, H Sun, RG Mark, ...
2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018
You Snooze, You Win: the PhysioNet
MM Ghassemi, BE Moody, LH Lehman, C Song, Q Li, H Sun, RG Mark, ...
Computing in Cardiology Challenge 2018, 2018
Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database
M Feng, JI McSparron, DT Kien, DJ Stone, DH Roberts, RM Schwartzstein, ...
Intensive care medicine 44 (6), 884-892, 2018
A comparative analysis of sepsis identification methods in an electronic database
AEW Johnson, J Aboab, JD Raffa, TJ Pollard, RO Deliberato, LA Celi, ...
Critical care medicine 46 (4), 494-499, 2018
A comparative analysis of sepsis identification methods in an electronic database
AEW Johnson, J Aboab, JD Raffa, TJ Pollard, RO Deliberato, LA Celi, ...
Critical care medicine 46 (4), 494-499, 2018
A comparative analysis of sepsis identification methods in an electronic database
AEW Johnson, J Aboab, JD Raffa, TJ Pollard, RO Deliberato, LA Celi, ...
Critical care medicine 46 (4), 494-499, 2018
A Comparative Analysis of Sepsis Identification Methods in an Electronic Database
AEW Johnson, J Aboab, JD Raffa, TJ Pollard, RO Deliberato, LA Celi, ...
Critical care medicine 46 (4), 494-499, 2018
Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics
EP Lehman, RG Krishnan, X Zhao, RG Mark, LH Lehman
Proceedings of machine learning research 85, 571-586, 2018
Severity of illness scores may misclassify critically ill obese patients
RO Deliberato, S Ko, M Komorowski, MAA de La Hoz, MP Frushicheva, ...
Critical care medicine 46 (3), 394-400, 2018
Severity of illness scores may misclassify critically ill obese patients
RO Deliberato, S Ko, M Komorowski, MA Armengol de La Hoz, ...
Critical care medicine 46 (3), 394-400, 2018
How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization
MM Ghassemi, T Al-Hanai, JD Raffa, RG Mark, S Nemati, FH Chokshi
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Predicting blood pressure response to fluid bolus therapy using attention-based neural networks for clinical interpretability
UM Girkar, R Uchimido, LWH Lehman, P Szolovits, L Celi, WH Weng
arXiv preprint arXiv:1812.00699, 2018
First Brazilian datathon in critical care
A Serpa Neto, G Kugener, L Bulgarelli, R Rabello Filho, MÁA Hoz, ...
Revista Brasileira de terapia intensiva 30, 6-8, 2018
Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts
A Serpa Neto, RO Deliberato, AEW Johnson, LD Bos, P Amorim, ...
Intensive care medicine 44 (11), 1914-1922, 2018
Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts
A Serpa Neto, RO Deliberato, AEW Johnson, LD Bos, P Amorim, ...
Intensive care medicine 44 (11), 1914-1922, 2018
Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts
A Serpa Neto, RO Deliberato, AEW Johnson, LD Bos, P Amorim, ...
Intensive care medicine 44 (11), 1914-1922, 2018
tableone: An open source Python package for producing summary statistics for research papers
TJ Pollard, AEW Johnson, JD Raffa, RG Mark
JAMIA open 1 (1), 26-31, 2018
tableone: An open source Python package for producing summary statistics for research papers
TJ Pollard, AEW Johnson, JD Raffa, RG Mark
JAMIA open 1 (1), 26-31, 2018
tableone: An open source Python package for producing summary statistics for research papers
TJ Pollard, AEW Johnson, JD Raffa, RG Mark
JAMIA Open 1 (1), 26-31, 2018
Evaluating reinforcement learning algorithms in observational health settings
O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ...
arXiv preprint arXiv:1805.12298, 2018
Evaluating reinforcement learning algorithms in observational health settings
O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ...
arXiv preprint arXiv:1805.12298, 2018
Improving sepsis treatment strategies by combining deep and kernel-based reinforcement learning
X Peng, Y Ding, D Wihl, O Gottesman, M Komorowski, LH Lehman, ...
AMIA Annual Symposium Proceedings 2018, 887, 2018
Real-time mortality prediction in the Intensive Care Unit
AEW Johnson, RG Mark
AMIA Annual Symposium Proceedings 2017, 994, 2018
PROVE Network Investigators: Mechanical power of ventilation is associated with mortality in critically ill patients: An analysis of patients in two observational cohorts
A Serpa Neto, RO Deliberato, AEW Johnson, LD Bos, P Amorim, ...
Intensive Care Med 44 (11), 1914-1922, 2018
PROVE Network Investigators: Mechanical power of ventilation is associated with mortality in critically ill patients: An analysis of patients in two observational cohorts
A Serpa Neto, RO Deliberato, AEW Johnson, LD Bos, P Amorim, ...
Intensive Care Med 44 (11), 1914-1922, 2018
Generalizability of predictive models for intensive care unit patients
AEW Johnson, TJ Pollard, T Naumann
arXiv preprint arXiv:1812.02275, 2018
Generalizability of predictive models for intensive care unit patients
AEW Johnson, TJ Pollard, T Naumann
arXiv preprint arXiv:1812.02275, 2018
Bayesian fusion of physiological measurements using a signal quality extension
T Zhu, AEW Johnson, Y Yang, GD Clifford, DA Clifton
Physiological measurement 39 (6), 065008, 2018
2018 Computing in Cardiology Conference (CinC)
MM Ghassemi, BE Moody, LH Lehman, C Song, Q Li, H Sun
Maastricht, Netherlands, 2018
Visualizing patient timelines in the intensive care unit
D Levy-Lambert, JJ Gong, T Naumann, TJ Pollard, JV Guttag
arXiv preprint arXiv:1806.00397, 2018
The role of baroreflex sensitivity in acute hypotensive episodes prediction in the intensive care unit
G Angelotti, P Morandini, LH Lehman, RG Mark, R Barbieri
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Focus on detection of arrhythmia and noise from cardiovascular data
C Liu, L Lehman, B Moody, Q Li, G Clifford
Physiol. Meas, 2018
Authors’ Response to the Intensive Care Unit Discharge Delay and In-Hospital Mortality
S Bose, AEW Johnson, A Moskowitz, LA Celi, JD Raffa
Journal of intensive care medicine, 0885066618816686, 2018

2017

Reproducibility in critical care: a mortality prediction case study
AEW Johnson, TJ Pollard, RG Mark
Machine learning for healthcare conference, 361-376, 2017
Reproducibility in critical care: a mortality prediction case study
AEW Johnson, TJ Pollard, RG Mark
Machine learning for healthcare conference, 361-376, 2017
Clinical Intervention Prediction and Understanding with Deep Neural Networks
H Suresh, N Hunt, AEW Johnson, LA Celi, P Szolovits, M Ghassemi
Machine Learning for Healthcare Conference, 322-337, 2017
Clinical intervention prediction and understanding with deep neural networks
H Suresh, N Hunt, A Johnson, LA Celi, P Szolovits, M Ghassemi
Machine learning for healthcare conference, 322-337, 2017
Continuous state-space models for optimal sepsis treatment: a deep reinforcement learning approach
A Raghu, M Komorowski, LA Celi, P Szolovits, M Ghassemi
Machine Learning for Healthcare Conference, 147-163, 2017
Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database
M Wu, M Ghassemi, M Feng, LA Celi, P Szolovits, F Doshi-Velez
Journal of the American Medical Informatics Association 24 (3), 488-495, 2017
Estimating patient's health state using latent structure inferred from clinical time series and text
A Zalewski, W Long, AEW Johnson, RG Mark, LH Lehman
2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017
Phenotyping hypotensive patients in critical care using hospital discharge summaries
Y Dai, S Lokhandwala, W Long, R Mark, LH Lehman
2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017
AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017
GD Clifford, C Liu, B Moody, LH Lehman, I Silva, Q Li, AE Johnson, ...
2017 computing in cardiology (CinC), 1-4, 2017
AF Classification from a short single lead ECG recording: the PhysioNet/Computing in Cardiology Challenge 2017
GD Clifford, C Liu, B Moody, LH Lehman, I Silva, Q Li, AE Johnson, ...
2017 Computing in Cardiology (CinC), 1-4, 2017
Breathing rate estimation from the electrocardiogram and photoplethysmogram: A review
PH Charlton, DA Birrenkott, T Bonnici, MAF Pimentel, AEW Johnson, ...
IEEE reviews in biomedical engineering 11, 2-20, 2017
Clinical intervention prediction and understanding using deep networks
H Suresh, N Hunt, A Johnson, LA Celi, P Szolovits, M Ghassemi
arXiv preprint arXiv:1705.08498, 2017
Clinical intervention prediction and understanding using deep networks
H Suresh, N Hunt, A Johnson, LA Celi, P Szolovits, M Ghassemi
arXiv preprint arXiv:1705.08498, 2017
Right ventricular function, peripheral edema, and acute kidney injury in critical illness
C Chen, J Lee, AEW Johnson, RG Mark, LA Celi, J Danziger
Kidney International Reports, 2017
Promoting secondary analysis of electronic medical records in China: summary of the PLAGH-MIT critical data conference and health datathon
P Li, C Xie, T Pollard, AEW Johnson, D Cao, H Kang, H Liang, Y Zhang, ...
JMIR Medical Informatics 5 (4), e7380, 2017
Promoting secondary analysis of electronic medical records in China: summary of the PLAGH-MIT critical data conference and health datathon
P Li, C Xie, T Pollard, AEW Johnson, D Cao, H Kang, H Liang, Y Zhang, ...
JMIR Medical Informatics 5 (4), e7380, 2017
Analyzing the eICU collaborative research database
AEW Johnson, TJ Pollard, LA Celi, RG Mark
Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017
The PhysioNet/Computing in Cardiology Challenge
GD Clifford, C Liu, B Moody, LH Lehman, I Silva, Q Li, AE Johnson, ...
IEEE, 2017
Predicting medical nonadherence using natural language processing
H Elahinia, JD Raffa, JT Wu, MM Ghassemi
2017 IEEE MIT Undergraduate Research Technology Conference (URTC), 1-4, 2017
Dynamics of multivariate vital sign time series and severe sepsis among patients in critical care
LH Lehman, A Johnson, C Sudduth, R Mark, S Nemati
Journal of Critical Care 38, 365, 2017
Deep reinforcement learning for sepsis treatment
A Raghu, M Komorowski, I Ahmed, L Celi, P Szolovits, M Ghassemi
arXiv preprint arXiv:1711.09602, 2017
Use of palliative care in patients with end-stage COPD and receiving home oxygen: national trends and barriers to care in the United States
B Rush, P Hertz, A Bond, RC McDermid, LA Celi
Chest 151 (1), 41-46, 2017
Palliative care access for hospitalized patients with end‐stage liver disease across the United States
B Rush, KR Walley, LA Celi, N Rajoriya, M Brahmania
Hepatology 66 (5), 1585-1591, 2017
Acute respiratory distress syndrome in pregnant women
B Rush, P Martinka, B Kilb, RC McDermid, JH Boyd, LA Celi
Obstetrics & Gynecology 129 (3), 530-535, 2017
Big data analyses in health and opportunities for research in radiology
Y Aphinyanaphongs
Seminars in Musculoskeletal Radiology 21 (01), 032-036, 2017
Computing in Cardiology (CinC)
GD Clifford, C Liu, B Moody, LH Lehman, I Silva, Q Li, AE Johnson, ...
Piscataway, NJ, USA: IEEE. p, 1-4, 2017

2016

MIMIC-III clinical database (version 1.4)
A Johnson, T Pollard, R Mark
PhysioNet 10 (C2XW26), 2, 2016
MIMIC-III clinical database (version 1.4)
A Johnson, T Pollard, R Mark
PhysioNet 10 (C2XW26), 2, 2016
MIMIC-III, a freely accessible critical care database
AEW Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ...
Scientific data 3, 160035, 2016
MIMIC-III, a freely accessible critical care database
AEW Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ...
Scientific data 3 (1), 1-9, 2016
MIMIC-III, a freely accessible critical care database
AEW Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ...
Scientific data 3, 160035, 2016
MIMIC-III, a freely accessible critical care database
AEW Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ...
Scientific data 3 (1), 1-9, 2016
Machine learning and decision support in critical care
AEW Johnson, MM Ghassemi, S Nemati, KE Niehaus, DA Clifton, ...
Proceedings of the IEEE 104 (2), 444-466, 2016
MIMIC-III, a freely accessible critical care database, Sci
AE Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ...
Data 3 (1), 1-9, 2016
MIMIC-III, a freely accessible critical care database, Sci
AE Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ...
Data 3 (1), 1-9, 2016
MIMIC-III, a freely accessible critical care database, Sci
AE Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ...
Data 3 (1), 1-9, 2016
MIMIC-III, a freely accessible critical care database, Sci
AE Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ...
Data 3 (1), 1-9, 2016
MIMIC-III, a freely accessible critical care database. Sci Data. 2016; 3: 160035
AE Johnson, TJ Pollard, L Shen, LW Lehman, M Feng, M Ghassemi, ...
MIMIC-III, a freely accessible critical care database. Sci Data. 2016; 3: 160035
AE Johnson, TJ Pollard, L Shen, LW Lehman, M Feng, M Ghassemi, ...
MIMIC-III, a freely accessible critical care database. Sci Data. 2016; 3: 160035
AE Johnson, TJ Pollard, L Shen, LW Lehman, M Feng, M Ghassemi, ...
MIMIC-III, a freely accessible critical care database. Sci Data. 2016; 3: 160035
AE Johnson, TJ Pollard, L Shen, LW Lehman, M Feng, M Ghassemi, ...
Predicting ICU mortality risk by grouping temporal trends from a multivariate panel of physiologic measurements
Y Luo, Y Xin, R Joshi, L Celi, P Szolovits
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
MIMIC-III, a freely accessible critical care database. Sci. Data 3, 160035 (2016)
A Johnson, T Pollard, L Shen, LW Lehman, M Feng, M Ghassemi, ...
Crossref, Web of Science, 2016
MIMIC-III, a freely accessible critical care database. Sci. Data 3, 160035 (2016)
A Johnson, T Pollard, L Shen, LW Lehman, M Feng, M Ghassemi, ...
Crossref, Web of Science, 2016
MIMIC-III, a freely accessible critical care database. Sci. Data 3, 160035 (2016)
A Johnson, T Pollard, L Shen, LW Lehman, M Feng, M Ghassemi, ...
Crossref, Web of Science, 2016
The MIMIC-III clinical database
TJ Pollard, AEW Johnson
The MIMIC-III Clinical Database, 2016
The MIMIC-III clinical database
TJ Pollard, AEW Johnson
The MIMIC-III Clinical Database, 2016
MIMIC-III, a freely accessible critical care database. Sci Data 3: 160035
AEW Johnson, TJ Pollard, L Shen, LWH Lehman, M Feng, M Ghassemi, ...
MIMIC-III, a freely accessible critical care database. Sci Data. 2016; 3
AEW Johnson, TJ Pollard, L Shen, L Lehman, M Feng, M Ghassemi, ...
Nature Publishing Group 1, 160035, 2016
MIMIC-III, a freely accessible critical care database. Scientific data. 2016; 3: 160035
AE Johnson, TJ Pollard, L Shen, HL Li-wei, M Feng, M Ghassemi
MIMIC-III, a freely accessible critical care database, Sci. Data 3 (2016) 160035
AEW Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ...
MIMIC-III, a freely accessible critical care database. Sci. Data 3 (1), 160035 (2016)
AE Johnson, TJ Pollard, L Shen, LH Lehman, M Feng
MIMIC-III, a freely accessible critical care database. Scientific data 3, 160035 (2016)
AEW Johnson, TJ Pollard, L Shen, HL Li-wei, M Feng, M Ghassemi, ...
MIMIC-III, a freely accessible critical care database. Scientific data. 2016; 3 (1): 1–9
AE Johnson, TJ Pollard, L Shen, HL Li-Wei, M Feng, M Ghassemi
& Mark, RG (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3, 160035
AEW Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi
MIMIC-III, a freely accessible critical care database. Sci Data. 2016 May 24; 3 (1): 160035
AEW Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi
Anthony Celi Leo, and Mark Roger G. 2016
EW Johnson Alistair, J Pollard Tom, LWHL Shen Lu, GM Feng Mengling, ...
MIMIC-III, a freely accessible critical care database. Scientific data 3 (1 …, 2016
Toward a robust estimation of respiratory rate from pulse oximeters
MAF Pimentel, AEW Johnson, PH Charlton, D Birrenkott, PJ Watkinson, ...
IEEE Transactions on Biomedical Engineering 64 (8), 1914-1923, 2016
Obesity, acute kidney injury, and mortality in critical illness
J Danziger, KP Chen, J Lee, M Feng, RG Mark, LA Celi, KJ Mukamal
Critical care medicine 44 (2), 328-334, 2016
Peripheral edema, central venous pressure, and risk of AKI in critical illness
KP Chen, S Cavender, J Lee, M Feng, RG Mark, LA Celi, KJ Mukamal, ...
Clinical Journal of the American Society of Nephrology 11 (4), 602-608, 2016
Markov Models and Cost Effectiveness Analysis: Applications in Medical Research
M Komorowski, J Raffa
Secondary Analysis of Electronic Health Records, 351-367, 2016
Li wei H. Lehman, Mengling Feng, Mohammad Ghassemi
AEW Johnson, TJ Pollard, L Shen
Benjamin Moody, Peter Szolovits, Leo A. Celi, and Roger G. Mark,‘MIMIC-III …, 2016
Li wei H. Lehman, Mengling Feng, Mohammad Ghassemi
AEW Johnson, TJ Pollard, L Shen
Benjamin Moody, Peter Szolovits, Leo A. Celi, and Roger G. Mark,‘MIMIC-III …, 2016
The hackathon model to spur innovation around global mHealth
P Angelidis, L Berman, ML Casas-Perez, LA Celi, GE Dafoulas, A Dagan, ...
Journal of medical engineering & technology 40 (7-8), 392-399, 2016
Bridging the health data divide
LA Celi, G Davidzon, AEW Johnson, M Komorowski, DC Marshall, ...
Journal of medical Internet research 18 (12), e325, 2016
Bridging the health data divide
LA Celi, G Davidzon, AEW Johnson, M Komorowski, DC Marshall, ...
Journal of medical Internet research 18 (12), e325, 2016
Bridging the health data divide
LA Celi, G Davidzon, AEW Johnson, M Komorowski, DC Marshall, ...
Journal of medical Internet research 18 (12), e6400, 2016
Closing the data loop: An integrated open access analysis platform for the mimic database
M Adibuzzaman, K Musselman, A Johnson, P Brown, Z Pitluk, A Grama
2016 Computing in Cardiology Conference (CinC), 137-140, 2016
Classification of heart sound recordings-the physionet computing in cardiology challenge 2016
C Liu, D Springer, B Moody, I Silva, A Johnson, M Samieinasab, ...
PhysioNet, 2016
Datathons and software to promote reproducible research
LA Celi, S Lokhandwala, R Montgomery, C Moses, T Naumann, T Pollard, ...
Journal of Medical Internet Research 18 (8), e6365, 2016
18: EXTERNAL VALIDATION OF THE SEPSIS-3 GUIDELINES
A Johnson, LA Celi, J Raffa, T Pollard, D Stone
Critical Care Medicine 44 (12), 91, 2016
Blood Pressure and the Risk of Acute Kidney Injury in the ICU: Case-Control Versus Case-Crossover Designs
LH Lehman, M Feng, Y Yang, RG Mark
Secondary Analysis of Electronic Health Records, 369-375, 2016
An open access database for the evaluation of heart sound algorithms
C Liu, D Springer, Q Li, B Moody, RA Juan, FJ Chorro, F Castells, JM Roig, ...
Physiological measurement 37 (12), 2181, 2016
Ten simple rules for taking advantage of Git and GitHub
Y Perez-Riverol, L Gatto, R Wang, T Sachsenberg, J Uszkoreit, ...
PLoS computational biology 12 (7), e1004947, 2016
Time-limited trials of intensive care for critically ill patients with cancer: how long is long enough?
MG Shrime, BS Ferket, DJ Scott, J Lee, D Barragan-Bradford, T Pollard, ...
JAMA oncology 2 (1), 76-83, 2016
Time-limited trials of intensive care for critically ill patients with cancer: how long is long enough?
MG Shrime, BS Ferket, DJ Scott, J Lee, D Barragan-Bradford, T Pollard, ...
JAMA oncology 2 (1), 76-83, 2016
L. wei H
AE Johnson, TJ Pollard, L Shen
Lehman, L, 2016
A “datathon” model to support cross-disciplinary collaboration
J Aboab, LA Celi, P Charlton, M Feng, M Ghassemi, DC Marshall, ...
Science Translational Medicine 8 (333), 333ps8-333ps8, 2016
A “datathon” model to support cross-disciplinary collaboration
J Aboab, LA Celi, P Charlton, M Feng, M Ghassemi, DC Marshall, ...
Science Translational Medicine 8 (333), 333ps8-333ps8, 2016
Scalable predictive analysis in critically ill patients using a visual open data analysis platform
SV Poucke, Z Zhang, M Schmitz, M Vukicevic, MV Laenen, LA Celi, ...
PloS one 11 (1), e0145791, 2016
Secondary analysis of electronic health records
MIT Critical Data
Springer Nature, 2016
Software vs. data in the context of citation
DS Katz, KE Niemeyer, AM Smith, WL Anderson, C Boettiger, K Hinsen, ...
PeerJ Preprints 4, e2630v1, 2016
Power and Effective Study Size in Heritability Studies
JD Raffa, EA Thompson
Statistics in Biosciences 8 (2), 264–283, 2016
Data preparation
T Pollard, F Dernoncourt, S Finlayson, A Velasquez
Secondary Analysis of Electronic Health Records, 101-114, 2016
Outcome prediction for patients with traumatic brain injury with dynamic features from intracranial pressure and arterial blood pressure signals: a Gaussian process approach
MAF Pimentel, T Brennan, L Lehman, NKK King, BT Ang, M Feng
Intracranial Pressure and Brain Monitoring XV, 85-91, 2016
Data Analysis
JD Raffa, M Ghassemi, T Naumann, M Feng, D Hsu
Secondary Analysis of Electronic Health Records, 205-261, 2016
Estimating relationships between phenotypes and subjects drawn from admixed families
EM Blue, LA Brown, MP Conomos, JL Kirk, AQ Nato, AB Popejoy, J Raffa, ...
BMC proceedings 10 (7), 357-362, 2016

2015

Semisupervised ECG ventricular beat classification with novelty detection based on switching Kalman filters
J Oster, J Behar, O Sayadi, S Nemati, AEW Johnson, GD Clifford
IEEE Transactions on Biomedical Engineering 62 (9), 2125-2134, 2015
Hyperdynamic left ventricular ejection fraction in the intensive care unit
JR Paonessa, T Brennan, M Pimentel, D Steinhaus, M Feng, LA Celi
Critical Care 19 (1), 288, 2015
11 Bayesian nonparametric learning of switching dynamics in cohort physiological time series: application in critical care patient monitoring
LH Lehman, MJ Johnson, S Nemati, RP Adams, RG Mark
Advanced State Space Methods for Neural and Clinical Data, 257, 2015
The association between the neutrophil-to-lymphocyte ratio and mortality in critical illness: an observational cohort study
JD Salciccioli, DC Marshall, MAF Pimentel, MD Santos, T Pollard, LA Celi, ...
Critical care 19 (1), 13, 2015
The association between the neutrophil-to-lymphocyte ratio and mortality in critical illness: an observational cohort study
JD Salciccioli, DC Marshall, MAF Pimentel, MD Santos, T Pollard, LA Celi, ...
Critical care 19 (1), 13, 2015
State of the art review: the data revolution in critical care
M Ghassemi, LA Celi, DJ Stone
Critical Care 19 (1), 118, 2015
A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction
LH Lehman, RP Adams, L Mayaud, GB Moody, A Malhotra, RG Mark, ...
IEEE Journal of Biomedical and Health Informatics 19 (3), 1068-1076, 2015
Effect of protocolized sedation on clinical outcomes in mechanically ventilated intensive care unit patients: a systematic review and meta-analysis of randomized controlled trials
MA Minhas, AG Velasquez, A Kaul, PD Salinas, LA Celi
Mayo Clinic Proceedings 90 (5), 613-623, 2015
Big data in global health: improving health in low-and middle-income countries
R Wyber, S Vaillancourt, W Perry, P Mannava, T Folaranmi, LA Celi
Bulletin of the World Health Organization 93, 203-208, 2015
Association between fluid balance and survival in critically ill patients
J Lee, E de Louw, M Niemi, R Nelson, RG Mark, LA Celi, KJ Mukamal, ...
Journal of internal medicine 277 (4), 468-477, 2015
Multimodal heart beat detection using signal quality indices
AEW Johnson, J Behar, F Andreotti, GD Clifford, J Oster
Physiological measurement 36 (8), 1665, 2015
Robust detection of heart beats in multimodal data
I Silva, B Moody, J Behar, A Johnson, J Oster, GD Clifford, GB Moody
Physiological measurement 36 (8), 1629, 2015
Multivariate longitudinal data analysis with mixed effects hidden Markov models
JD Raffa, JA Dubin
Biometrics 71 (3), 821-831, 2015
Hemodynamic monitoring using switching autoregressive dynamics of multivariate vital sign time series
LH Lehman, S Nemati, RG Mark
2015 Computing in Cardiology Conference (CinC), 1065-1068, 2015
Patient prognosis from vital sign time series: Combining convolutional neural networks with a dynamical systems approach
LH Lehman, M Ghassemi, J Snoek, S Nemati
2015 Computing in Cardiology Conference (CinC), 1069-1072, 2015
Time-Limited Trials of Intensive Care for Critically Ill Patients With Cancer How Long Is Long Enough?
MG Shrime, BS Ferket, DJ Scott, J Lee, D Barragan-Bradford, T Pollard, ...
medicine 19, 20, 2015

2014

Making big data useful for health care: a summary of the inaugural mit critical data conference
O Badawi, T Brennan, LA Celi, M Feng, M Ghassemi, A Ippolito, ...
JMIR medical informatics 2 (2), e3447, 2014
A data-driven approach to optimized medication dosing: a focus on heparin
MM Ghassemi, SE Richter, IM Eche, TW Chen, J Danziger, LA Celi
Intensive care medicine 40 (9), 1332-1339, 2014

2013

Reducing unnecessary lab testing in the ICU with artificial intelligence
F Cismondi, LA Celi, AS Fialho, SM Vieira, SR Reti, JMC Sousa, ...
International journal of medical informatics 82 (5), 345-358, 2013
Accessing the public MIMIC-II intensive care relational database for clinical research
DJ Scott, J Lee, I Silva, S Park, GB Moody, LA Celi, RG Mark
BMC medical informatics and decision making 13 (1), 9, 2013
“Big data” in the intensive care unit. Closing the data loop
LA Celi, RG Mark, DJ Stone, RA Montgomery
American journal of respiratory and critical care medicine 187 (11), 1157, 2013
Dynamic data during hypotensive episode improves mortality predictions among patients with sepsis and hypotension
L Mayaud, PS Lai, GD Clifford, L Tarassenko, LA Celi, D Annane
Critical care medicine 41 (4), 954-962, 2013
Proton-pump inhibitor use is associated with low serum magnesium concentrations
J Danziger, JH William, DJ Scott, J Lee, L Lehman, RG Mark, MD Howell, ...
Kidney international 83 (4), 692-699, 2013

2012

Predicting in-hospital mortality of icu patients: The physionet/computing in cardiology challenge 2012
I Silva, G Moody, DJ Scott, LA Celi, RG Mark
2012 computing in cardiology, 245-248, 2012
ICU admission characteristics and mortality rates among elderly and very elderly patients
L Fuchs, CE Chronaki, S Park, V Novack, Y Baumfeld, D Scott, ...
Intensive care medicine 38 (10), 1654-1661, 2012
Red cell distribution width improves the simplified acute physiology score for risk prediction in unselected critically ill patients
S Hunziker, LA Celi, J Lee, MD Howell
Critical care 16 (3), R89, 2012
A database-driven decision support system: customized mortality prediction
LA Celi, S Galvin, G Davidzon, J Lee, D Scott, R Mark
Journal of personalized medicine 2 (4), 138-148, 2012

2011

Improving the quality of ECGs collected using mobile phones: The Physionet/Computing in Cardiology Challenge 2011
I Silva, GB Moody, L Celi
2011 computing in Cardiology, 273-276, 2011

2010

Early intervention with erythropoietin does not affect the outcome of acute kidney injury (the EARLYARF trial)
ZH Endre, RJ Walker, JW Pickering, GM Shaw, CM Frampton, ...
Kidney international 77 (11), 1020-1030, 2010