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Huang Y, Wang Y, Ray EL, Cornell M, Bracher J, Brennen A, Rivadeneira AJC,
Gerding A, House K, Jayawardena D, Kanji AH, Khandelwal A, Le K, Mody V, Mody
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Kong S, van de Walle A, Turtle JA, Ben-Nun M, Riley S, Riley P, Koyluoglu U,
DesRoches D, Forli P, Hamory B, Kyriakides C, Leis H, Milliken J, Moloney M,
Morgan J, Nirgudkar N, Ozcan G, Piwonka N, Ravi M, Schrader C, Shakhnovich E,
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JL, Li C, Liu TY, Xie X, Zhang S, Zheng S, Vespignani A, Chinazzi M, Davis
JT, Mu K, Piontti APY, Xiong X, Zheng A, Baek J, Farias V, Georgescu A, Levi
R, Sinha D, Wilde J, Perakis G, Bennouna MA, Nze-Ndong D, Singhvi D,
Spantidakis I, Thayaparan L, Tsiourvas A, Sarker A, Jadbabaie A, Shah D,
Penna ND, Celi LA, Sundar S, Wolfinger R, Osthus D, Castro L, Fairchild G,
Michaud I, Karlen D, Kinsey M, Mullany LC, Rainwater-Lovett K, Shin L,
Tallaksen K, Wilson S, Lee EC, Dent J, Grantz KH, Hill AL, Kaminsky J,
Kaminsky K, Keegan LT, Lauer SA, Lemaitre JC, Lessler J, Meredith HR,
Perez-Saez J, Shah S, Smith CP, Truelove SA, Wills J, Marshall M, Gardner
L, Nixon K, Burant JC, Wang L, Gao L, Gu Z, Kim M, Li X, Wang G, Wang Y,
Yu S, Reiner RC, Barber R, Gakidou E, Hay SI, Lim S, Murray C, Pigott D,
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RodrÃguez A, Tabassum A, Xie J, Keskinocak P, Asplund J, Baxter A, Oruc BE,
Serban N, Arik SO, Dusenberry M, Epshteyn A, Kanal E, Le LT, Li CL, Pfister
T, Sava D, Sinha R, Tsai T, Yoder N, Yoon J, Zhang L, Abbott S, Bosse NI,
Funk S, Hellewell J, Meakin SR, Sherratt K, Zhou M, Kalantari R, Yamana TK,
Pei S, Shaman J, Li ML, Bertsimas D, Lami OS, Soni S, Bouardi HT, Ayer T,
Adee M, Chhatwal J, Dalgic OO, Ladd MA, Linas BP, Mueller P, Xiao J, Wang Y,
Wang Q, Xie S, Zeng D, Green A, Bien J, Brooks L, Hu AJ, Jahja M, McDonald D,
Narasimhan B, Politsch C, Rajanala S, Rumack A, Simon N, Tibshirani RJ,
Tibshirani R, Ventura V, Wasserman L, O'Dea EB, Drake JM, Pagano R, Tran
QT, Ho LST, Huynh H, Walker JW, Slayton RB, Johansson MA, Biggerstaff M,
Reich NG.
Evaluation of individual
and ensemble probabilistic forecasts of COVID-19 mortality in the united
states.
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(PMID:35394862)
Fernandes MPB, Armengol de la Hoz M, Rangasamy V,
Subramaniam B.
Machine learning models with preoperative risk factors and intraoperative
hypotension parameters predict mortality after cardiac surgery.
J Cardiothorac Vasc Anesth, 35(3):857–865, Mar. 2021.
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(PMID:32747203)
Shahn Z,
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Delaying initiation of diuretics in critically ill patients with recent
vasopressor use and high positive fluid balance.
Br J Anaesth, 127(4):569–576, Oct. 2021.
(PMID:34256925)
Xu H, Agha-Mir-Salim
L, O'Brien Z, Huang DC, Li P, Gómez J, Liu X, Liu T, Yeung W, Thoral P,
Elbers P, Zhang Z, Saera MB, Celi LA.
Varying association of laboratory values with reference ranges and outcomes in
critically ill patients: an analysis of data from five databases in four
countries across Asia, Europe and North America.
BMJ Health Care Inform, 28(1):e100419, Oct. 2021.
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(PMID:34642176)
Liu C, Springer D, Li Q,
Moody B, Juan RA, Chorro FJ, Castells F, Roig JM, Silva I, Johnson AEW, Syed
Z, Schmidt SE, Papadaniil CD, Hadjileontiadis L, Naseri H, Moukadem A,
Dieterlen A, Brandt C, Tang H, Samieinasab M, Samieinasab MR, Sameni R, Mark
RG, Clifford GD.
An open access
database for the evaluation of heart sound algorithms.
Physiol Meas, 37(12):2181–2213, Dec. 2016.
Epub 2016 Nov 21.
(PMID:27869105)
Rush B, Hertz P,
Bond A, McDermid R, Celi LA.
Utilization of palliative care in patients with end-stage chronic obstructive
pulmonary disease on home oxygen: national trends and barriers to care in the
United States.
Chest, pii: S0012–3692(16)52413–1, July 2016.
[Epub ahead of print].
(doi:10.1016/j.chest.2016.06.023)
(PMID:27387892)
Ghosh S, Feng M,
Nguyen H, Li J.
Hypotension risk prediction via sequential contrast patterns of icu blood
pressure.
IEEE J Biomed Health Inform, July 2015.
[Epub ahead of print].
(PDF)
(PMID:26168449)
Paonessa JR,
Brennan T, Pimentel M, Steinhaus D, Feng M, Celi LA.
Hyperdynamic left ventricular ejection fraction in the intensive care unit.
Crit Care, 19:288, 2015.
(PDF)
(doi:10.1186/s13054-015-1012-8)
(PMID:26250903)
Celi LA, Moseley E,
Moses C, Ryan P, Somai M, Stone D, Tang K.
From pharmacovigilance to clinical care optimization.
Big Data, 2(3):134–141, Sept. 2014.
Online ahead of print: August 13, 2014.
(PDF)
(doi:10.1089/big.2014.0008)
(PMID:26576325)
Ghassemi MM,
Richter SE, Eche IM, Chen TW, Danziger J, Celi LA.
A data-driven approach to optimized medication dosing: a focus on heparin.
Intensive Care Med, online publication, Aug. 2014.
(PDF)
(doi:10.1007/s00134-014-3406-5)
(PMID:25091788)
Moseley ET, Hsu
DJ, Stone DJ, Celi LA.
Beyond open big data: Addressing unreliable research.
J Med Internet Res, 16(11):e259, 2014.
(PDF)
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(PMID:25405277)
Velasquez A,
Ghassemi M, Szolovits P, Park S, Osorio J, Dejam A, Celi L.
Long-term outcomes of minor troponin elevations in the intensive care unit.
Anaesth Intensive Care, 42(3):356–64, May 2014.
(PDF)
(PMID:24794476)
Mayaud L, Lai PS,
Clifford GD, Tarrasenko L, Celi LA, Annane D.
Dynamic data during hypotensive episode improves mortality predictions among
patients with sepsis and hypotension.
Crit Care Med, 41(4):954–962, Apr. 2013.
(PMID:23385106)
Mandelbaum
T, Scott DJ, Lee J, Mark RG, Malhotra A, Waikar S, Howell MD, Talmor DS.
Outcome of critically ill patients with acute kidney injury using the Acute
Kidney Injury Network criteria.
Crit Care Med, 39(12):2659–2664, Dec. 2011.
Preprint available online 14 July 2011.
(PMID:21765352)
Nemati S, Abdala
O, Bazan V, Tim-Yeh S, Malhotra A, Clifford GD.
A non-parametric surrogate-based test of significance for T-wave alternans
detection.
IEEE Transactions On Biomedical Engineering, 58(5):1356–64, May
2011.
Epub Apr 19, 2010.
(PDF)
(doi:10.1109/TBME.2010.2047859)
(PMID:20409986)
Saeed M, Villarroel
M, Reisner AT, Clifford G, Lehman L, Moody G, Heldt T, Kyaw TH, Moody B, Mark
RG.
Multiparameter intelligent monitoring in intensive care II (MIMIC-II): A
public-access intensive care unit database.
Crit Care Med, 39(5):952–960, 2011.
(PDF)
(doi:10.1097/CCM.0b013e31820a92c6)
(PMID:21283005)
Nemati S,
Malhotra A, Clifford GD.
Data fusion for improved respiration rate estimation.
EURASIP Journal on Advances in Signal Processing,
2010(926305):1–10, May 2010.
(PDF)
(doi:10.1155/2010/926305)
(PMID:20806056)
Sun JX, Reisner AT, Saeed
M, Heldt T, Mark RG.
The cardiac output from blood pressure algorithms trial.
Crit Care Med, 37(1):72–80, Jan. 2009.
(PDF)
(PMID:19112280)
Dawoud F, Wagner G,
Moody G, Horácek B.
Using inverse electrocardiography to image myocardial infarction–reflecting on
the 2007 PhysioNet/Computers in Cardiology Challenge.
J Electrocardiol, 41(6):630–5, 2008.
(PMID:18954610)
Lian J, Clifford GD,
Müessig D, Lang V.
Open source model for generating RR intervals in atrial fibrillation and
beyond.
BioMedical Engineering OnLine, 6(9):1–16, Mar. 2007.
doi:10.1186/1475-925X-6-9.
(PDF)
(PMID:17335580)
Sameni R,
Clifford GD, Shamsollahi MB, Jutten C.
Multi-channel ECG and noise modeling: application to maternal and fetal ECG
signals.
EURASIP Journal on Advances in Signal Processing,
2007(43407):1–14, 2007.
(PDF)
(doi:10.1155/2007/43407)
Heldt T.
Continuous blood pressure-derived cardiac output monitoring — should we be
thinking long term?
J Appl Physiol, 101(2):373–374, 2006.
Invited editorial.
(PDF)
(PMID:16690788)
Parlikar TA,
Heldt T, Verghese GC.
Cycle-averaged models of cardiovascular dynamics.
IEEE Transactions on Circuits and Systems–I: Fundamental Theory and
Applications, 53(11):2459–2468, 2006.
(PDF)
Clifford GD, Tarassenko L.
Quantifying errors in spectral estimates of HRV due to beat replacement and
resampling.
IEEE Transactions in Biomedical Engineering, 52(4):630–638, 2005.
(PDF)
(doi:10.1109/TBME.2005.844028)
(PMID:15825865)
Clifford GD,
Shoeb A, McSharry PE, Janz BA.
Model-based filtering, compression and classification of the ECG.
International Journal of Bioelectromagnetism, 7(1):158–161, 2005.
(PDF)
Heldt T, Chang JL,
Chen JJS, Verghese GC, Mark RG.
Cycle-averaged dynamics of a periodically driven, closed loop circulation
model.
Control Eng Pract, 13(9):1163–1171, Sept. 2005.
(PDF)
(PMID:16050064)
Clifford
GD, Tarassenko L.
Segmenting cardiac-related data using sleep stages increases separation between
normal subjects and apnoeic patients.
IOP Physiol Meas, (25):N27–N35, 2004.
(PDF)
(doi:10.1088/0967-3334/25/6/N03)
(PMID:15712732)
Costa M, Moody GB,
Henry I, Goldberger AL.
Physionet: an NIH research resource for complex signals.
J Electrocardiology, 36(suppl):139–144, 2003.
(PDF)
McSharry PE,
Clifford GD, Tarassenko L.
A dynamical model for generating synthetic electrocardiogram signals.
IEEE Trans Biomed Eng, 50(3):289–294, 2003.
(PDF)
(doi:10.1109/TBME.2003.808805)
(PMID:12669985)
Dauvin A,
Donado C, Bachtiger P, Huang KC, Sauer CM, Ramazzotti D, Bonvini M, Celi LA,
Douglas MJ.
Machine learning can accurately predict pre-admission baseline hemoglobin and
creatinine in intensive care patients, bringing context to abnormal admission
lab values.
Presented at the European Society of Intensive Care Medicine 32nd Annual
Congress, Berlin (https://www.esicm.org/events/32nd-annual-congress-berlin/),
Sept. 2019.
Angelotti G, Morandini P, Lehman L, Mark R,
Barbieri R.
The role of baroreflex sensitivity in acute hypotensive episodes prediction in
the Intensive Care Unit.
In 2018 40th Annual International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC), 2784–2787, July 2018.
(PDF)
(doi:10.1109/EMBC.2018.8512859)
Ghassemi MM, Al-Hanai T, Raffa JD, Mark RG,
Nemati S, Chokshi FH.
How is the doctor feeling? ICU provider sentiment is associated with
diagnostic imaging utilization.
In 2018 40th Annual International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC), 4058–4064, July 2018.
(PDF)
(doi:10.1109/EMBC.2018.8513325)
Clifford G,
Liu C, Moody B, Silva I, Li Q, Johnson A, Mark R.
AF classification from a short single lead ECG recording: the PhysioNet
Computing in Cardiology Challenge 2017.
Comput Cardiol, 44, 2017.
In press.
Ghassemi MM, Jarvis W, Alhanai T, Brown EN, Mark
RG, Westover MB.
An open-source tool for the transcription of paper-spreadsheet data.
In 2017 IEEE International Conference on Big Data (Big Data),
935–941, Dec. 2017.
(PDF)
Johnson AEW,
Mark RG.
Real-time mortality prediction in the Intensive Care Unit.
In AMIA Annu Symp Proc 2017, 994–1003, Nov. 2017.
eCollection 2017.
(PDF)
Johnson AEW,
Pollard TJ, Mark RG.
Reproducibility in
critical care: a mortality prediction case study.
In Doshi-Velez F, Fackler J, Kale D, Ranganath R, Wallace B, Wiens J, editors,
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2017. PMLR.
(PDF)
Zalewski A,
Long W, Johnson AEW, Mark RG, Lehman LH.
Estimating patientâs health state using latent structure inferred from
clinical time series and text.
Proc IEEE Intl Conf Biomed Health Inform, 2017.
(PDF)
Bose S, Moskowitz
A, Jalilian L, Celi LA, Johnson AEW.
Impact
of intensive care unit discharge delays.
Am J Respir Crit Care Med, 193:A4695–A4695, 2016.
Presentation at the American Thoracic Society 2016 International Conference,
May 13–18, 2016, San Francisco.
Lehman LH,
Johnson A, Sudduth C, Mark R, Nemati S.
Dynamics of multivariate vital sign time series and severe sepsis among
patients in critical care.
Presented at the 15th International Conference on Complex Acute Illness
Conference (ICCAI), Pasadena, California, USA, Aug. 2016.
Marshall JD,
You CX, Pollard T, Salgueiro F, Chen C, Celi LA.
Impact of left ventricular heart failure with preserved ejection fraction and
right ventricular systolic heart failure on outcomes in the intensive care
unit.
Poster discussion presentation at the American Thoracic Society International
Conference, San Francisco, May 13–18, 2016.
Pollard TJ.
An introduction to the MIMIC-III Critical Care Database.
Presented at the London Critical Care Datathon (http://datascicc.org/), Dec. 2016.
(PDF)
Pollard T,
Komorowski M, Salciccioli JD, Marshall DC, Sykes M, Goodson R, Hartley A,
Shalhoub J.
Lactate rebound as an independent predictor of mortality in the intensive care
unit.
Poster discussion presentation at the American Thoracic Society International
Conference, San Francisco, May 13–18, 2016.
(PDF)
Raffa JD,
Montgomery RA, Stretch R, Johnson AEW, Celi LA, Pollard T.
Trends in mechanical ventilation and vasopressor use and relevance to mortality
outcomes in critical care settings.
Poster discussion presentation at the American Thoracic Society International
Conference, San Francisco, May 13–18, 2016.
Sun F, Cui A,
Lokhandwala S, Tyler P, Shen M, Paul D, Pollard T.
Risk factors for mortality in critically ill patients requiring new renal
replacement therapy.
Poster discussion presentation at the American Thoracic Society International
Conference, San Francisco, May 13–18, 2016.
Ghassemi M,
Lehman LH, Snoek J, Nemati S.
Global optimization approaches for parameter tuning in biomedical signal
processing: A focus of multi-scale entropy.
Comput Cardiol, 41:993–996, 2014.
(PDF)
Moody GB, Moody B,
Silva I.
Robust detection of heart beats in multimodal data: the PhysioNet/Computing in
Cardiology Challenge 2014.
Comput Cardiol, 41:549–552, 2014.
(PDF)
Lehman LH, Nemati
S, Adams RP, Moody G, Malhotra A, Mark RG.
Tracking progression of patient state of health in critical care using inferred
shared dynamics in physiological time series.
Conf Proc IEEE Eng Med Biol Soc, 7072–5, 2013.
(PDF)
(doi:10.1109/EMBC.2013.6611187)
(PMID:24111374)
Lehman L, Nemati
S, Adams RP, Mark R.
Discovering shared dynamics in physiological signals: Application to patient
monitoring in ICU.
Conf Proc IEEE Eng Med Biol Soc. 2012, 5939–42, 2012.
(PDF)
(PMID:23367281)
Lehman L, Saeed
M, Long W, Lee J, Mark R.
Risk stratification of ICU patients using topic models inferred from
unstructured progress notes.
AMIA Annu Symp Proc, 505–11, Nov. 2012.
(PDF)
(PMID:23304322)
Silva I, Moody G,
Scott DJ, Celi LA, Mark RG.
Predicting in-hospital mortality of ICU patients: The PhysioNet/Computing in
Cardiology Challenge 2012.
Comput Cardiol, 39:245–248, 2012.
(PDF)
Lee J, Scott DJ,
Villarroel M, Clifford GD, Saeed M, Mark RG.
Open-access MIMIC-II database for intensive care research.
Conf Proc IEEE Eng Med Biol Soc. 2011, 8315–8318, 2011.
(PDF)
(PMID:22256274)
Moody GB, Mark RG,
Goldberger AL.
PhysioNet: physiologic signals, time series, and related open source software
for basic, clinical, and applied research.
Proc 33rd IEEE EMBS, 8327–8330, 2011.
(PDF)
(PMID:22256277)
Silva I, Moody G,
Celi L.
Improving the quality of ECGs collected using mobile phones: The
PhysioNet/Computing in Cardiology Challenge 2011.
Comput Cardiol, 38:273–276, 2011.
(PDF)
Celi LA, Hug C,
Villarroel M, Clifford G, Mark R.
Issues with data mining: predictive modeling on critically ill patients who
develop acute renal failure.
Crit Care Med, Jan. 2010.
Celi LA, Villarroel
M, Davidzon G, Galvin S, Clifford G, Galvin I, Bunton R, Szolovits P.
Comparing the performance of customized mortality prediction models using local
database against current standard scoring systems.
Crit Care Med, Jan. 2010.
Kashif FM, Heldt T,
Novak V, Czosnyka M, Verghese GV.
Model-based cerebrovascular monitoring.
Oral contribution, American Heart Association 2010 International Stroke
Conference, Feb. 2010.
Lojun SL, Sauper CJ,
Medow M, Long WJ, Mark RG, Barzilay R.
Investigating resuscitation code assignment in the intensive care unit using
structured and unstructured data.
AMIA Annu Symp Proc, 2010:467–471, 2010.
(PDF)
(PMID:21347022)
Ranger M, Heldt T,
O'Leary H, Suleymanci M, Johnston C, du Plessis AJ.
Description of global cerebral activation during noxious stimulus in critically
ill preterm infants.
Poster presentation, 8th International Workshop on Pediatric Pain, Mar.
2010.
Ranger M, Heldt T,
O'Leary H, Suleymanci M, Johnston C, du Plessis AJ.
Description of global cerebral activation during noxious stimulus in critically
ill preterm infants.
Poster contribution to the 5th International Workshop on Neonatal Brain
Monitoring and Neuroprotection, Jan. 2010.
Celi LA, Villarroel M,
Clifford G, Szolovits P.
Local customized mortality prediction modeling for patients with acute
kidneyinjury admitted to the intensive care unit.
Presentation at the Sixth International Meeting on Computational Intelligence
Methods for Bioinformatics and Biostatistics, Genova, Italy (http://cibb09.disi.unige.it), Oct.
2009.
Kashif FM, Heldt T,
Novak V, Czosnyka M, Verghese GV.
Non-invasive model-based cerebrovascular monitoring for neurotrauma.
Poster presentation, CIMIT Innovation Congress 2009. (Awarded the âMost
Innovative Research Awardâ), Oct. 2009.
Li Q, Clifford GD.
Suppression of false arrhythmia alarms from ICU monitors using heart rate
estimation based on combined arterial blood pressure and ECG analysis.
Shanghai, China, May 2008.
Jia X, Malhotra A,
Talmor D, Saeed M, Mark RG.
Risk factors for acute lung injury and acute respiratory distress syndrome in
patients mechanically ventilated > 48 hours in the ICU.
Presentation at the SSCM Critical Care Congress, Orlando FL, Feb. 2007.
Wolfberg AJ, Syed
Z, Clifford GD, Tin A, Guttag J, du Plessis AJ.
Entropy of fetal EKG associated with intrapartum fever.
Presented at the New England Conference on Perinatal Research, Oct. 2007.
(PDF)
Roberts JM, Parlikar
TA, Heldt T, Verghese GC.
Bayesian networks for cardiovascular monitoring.
Proceedings of the 28th IEEE Engineering in Medicine and Biology
Conference, 205–209, 2006.
(PDF)
(PMID:17946804)
Saeed M, Mark RG.
A novel method for the efficient retrieval of similar multiparameter
physiologic time series using Wavelet-based symbolic representations.
AMIA Annu Symp Proc, 679–683, 2006.
(PDF)
(PMID:17238427)
Janz BA, Frassica J,
Baker C, Clifford GD, Mark RG.
A new paradigm for managing information in the ICU in response to the 80 hour
work week.
New England Surgical Society, 86:118–119, 2005.
(PDF)
Janz BA, Saeed M,
Frassica J, Clifford GD, Mark RG.
Development and optimization of a critical care alert and display (CCAD)
system using retrospective ICU databases.
AMIA Annu Symp Proc, 2005.
(PDF)
(PMID:16779281)
Janz BA, Saeed M,
Frassica J, Clifford GD, Mark RG.
Development and optimization of a Critical Care Alert and Display (CCAD)
system using retrospective ICU databases.
In AMIA Annu Symp Proc, volume 994, 2005.
(PMID:16779281)
Parlikar TA,
Verghese GC.
A simple cycle-averaged model for cardiovascular dynamics.
Proceedings of the 27th Annual IEEE Engineering in Medicine and Biology
Society Conference, 27:5490–5494, 2005.
(PDF)
(PMID:17281496)
Saeed M, Janz B,
Clifford GD, Abdala O, Kyaw T, Douglass M, Shu J, Reisner A, Long W,
Szolovits P, Heldt T, Verghese G, Moody G, Mark. R.
MIMIC II: A massive temporal database to support research in integrating
data, models, and reasoning in critical care.
AMIA conference, Oct. 2005, Washington DC., 2005.
Clifford
GD, McSharry PE.
A nonlinear artificial model for generating realistic correlated ECG, BP
and respiration.
17th international EURASIP conference, 358–360, June 2004.
Biosignal2004, Brno, Czech Republic.
(PDF)
McSharry
PE, Clifford GD.
A comparison of nonlinear noise reduction and independent component analysis
using a realistic dynamical model of the electrocardiogram.
Proc of SPIE International Symposium on Fluctuations and Noise,
5467(09):78–88, 2004.
(PDF)
Nam DS, Youn CH, Lee BH,
Clifford GD, Healey J.
QoS-constrained resource allocation for a Grid-based multiple source
electrocardiogram application.
Lecture Notes in Computer Science, 3043:352–359, 2004.
Information Systems and Information Technologies (ISIT) Workshop, (Grid
Session).
(PDF)
Oefinger M,
Moody GB, Krieger M, Mark RG.
System for remote multi-channel real-time monitoring of ECG via the internet.
Comput Cardiol, 31:753–756, 2004.
(PDF)
Oefinger M,
Zong W, Krieger M, Mark RG.
An interactive web-based tool for multi-scale physiological data visualization.
Comput Cardiol, 31:569–572, 2004.
(PDF)
Youn CH, Kim B, Nam DS,
Shim EB, Clifford GD, Healey J.
Resource reconfiguration scheme based on temporal quorum status estimation in
computational grids.
Lecture Notes in Computer Science, 699–707, 2004.
(PDF)
Youn CH, Nam DS, Kim B,
An ES, Lee BH, Shim EB, Clifford GD.
QoS
quorum-constrained resource management in wireless grid.
Lecture Notes in Computer Science, 3222:65–72, 2004.
Network and Parallel Computing, (NPC 2004), IFIP International Conference,
Wuhan, China, oct 18–20.
(PDF)
Heldt T, Chang JL,
Verghese GC, Mark RG.
Cycle-averaged models of cardiovascular dynamics.
Modelling and Control in Biomedical Systems 2003, 387–392, 2003.
(PDF)
Heldt T,
Verghese GC, Kamm RD, Mark RG.
Modeling cardiovascular response to gravitational stress–combined forward and
inverse approach.
In IFMBE Proceedings — World Congress on Medical Physics and
Biomedical Engineering, 2003.
Moody GB, Dakin M,
Mark RG.
Web-enabled physiologic signal processing and analysis.
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In Chen Z, editor, Advanced State Space Methods for Neural and Clinical
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MIMIC II database.
M.Eng. Thesis, Department of Electrical Engineering and Computer Science,
Massachusetts Institute of Technology, Cambridge, MA, June 2009.
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vasopressor use and high positive fluid balance.
Br J Anaesth, 127(4):569–576, Oct. 2021.
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L, O'Brien Z, Huang DC, Li P, Gómez J, Liu X, Liu T, Yeung W, Thoral P,
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critically ill patients: an analysis of data from five databases in four
countries across Asia, Europe and North America.
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Donado C, Bachtiger P, Huang KC, Sauer CM, Ramazzotti D, Bonvini M, Celi LA,
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creatinine in intensive care patients, bringing context to abnormal admission
lab values.
Presented at the European Society of Intensive Care Medicine 32nd Annual
Congress, Berlin (https://www.esicm.org/events/32nd-annual-congress-berlin/),
Sept. 2019.
Angelotti G, Morandini P, Lehman L, Mark R,
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the Intensive Care Unit.
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Comput Cardiol, 44, 2017.
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An open-source tool for the transcription of paper-spreadsheet data.
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Mark RG.
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Johnson AEW,
Pollard TJ, Mark RG.
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critical care: a mortality prediction case study.
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Zalewski A,
Long W, Johnson AEW, Mark RG, Lehman LH.
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clinical time series and text.
Proc IEEE Intl Conf Biomed Health Inform, 2017.
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Liu C, Springer D, Li Q,
Moody B, Juan RA, Chorro FJ, Castells F, Roig JM, Silva I, Johnson AEW, Syed
Z, Schmidt SE, Papadaniil CD, Hadjileontiadis L, Naseri H, Moukadem A,
Dieterlen A, Brandt C, Tang H, Samieinasab M, Samieinasab MR, Sameni R, Mark
RG, Clifford GD.
An open access
database for the evaluation of heart sound algorithms.
Physiol Meas, 37(12):2181–2213, Dec. 2016.
Epub 2016 Nov 21.
(PMID:27869105)
Rush B, Hertz P,
Bond A, McDermid R, Celi LA.
Utilization of palliative care in patients with end-stage chronic obstructive
pulmonary disease on home oxygen: national trends and barriers to care in the
United States.
Chest, pii: S0012–3692(16)52413–1, July 2016.
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(doi:10.1016/j.chest.2016.06.023)
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Bose S, Moskowitz
A, Jalilian L, Celi LA, Johnson AEW.
Impact
of intensive care unit discharge delays.
Am J Respir Crit Care Med, 193:A4695–A4695, 2016.
Presentation at the American Thoracic Society 2016 International Conference,
May 13–18, 2016, San Francisco.
Lehman LH,
Johnson A, Sudduth C, Mark R, Nemati S.
Dynamics of multivariate vital sign time series and severe sepsis among
patients in critical care.
Presented at the 15th International Conference on Complex Acute Illness
Conference (ICCAI), Pasadena, California, USA, Aug. 2016.
Marshall JD,
You CX, Pollard T, Salgueiro F, Chen C, Celi LA.
Impact of left ventricular heart failure with preserved ejection fraction and
right ventricular systolic heart failure on outcomes in the intensive care
unit.
Poster discussion presentation at the American Thoracic Society International
Conference, San Francisco, May 13–18, 2016.
Pollard TJ.
An introduction to the MIMIC-III Critical Care Database.
Presented at the London Critical Care Datathon (http://datascicc.org/), Dec. 2016.
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Pollard T,
Komorowski M, Salciccioli JD, Marshall DC, Sykes M, Goodson R, Hartley A,
Shalhoub J.
Lactate rebound as an independent predictor of mortality in the intensive care
unit.
Poster discussion presentation at the American Thoracic Society International
Conference, San Francisco, May 13–18, 2016.
(PDF)
Raffa JD,
Montgomery RA, Stretch R, Johnson AEW, Celi LA, Pollard T.
Trends in mechanical ventilation and vasopressor use and relevance to mortality
outcomes in critical care settings.
Poster discussion presentation at the American Thoracic Society International
Conference, San Francisco, May 13–18, 2016.
Sun F, Cui A,
Lokhandwala S, Tyler P, Shen M, Paul D, Pollard T.
Risk factors for mortality in critically ill patients requiring new renal
replacement therapy.
Poster discussion presentation at the American Thoracic Society International
Conference, San Francisco, May 13–18, 2016.
Mark R.
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MIMIC.
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Ghosh S, Feng M,
Nguyen H, Li J.
Hypotension risk prediction via sequential contrast patterns of icu blood
pressure.
IEEE J Biomed Health Inform, July 2015.
[Epub ahead of print].
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Paonessa JR,
Brennan T, Pimentel M, Steinhaus D, Feng M, Celi LA.
Hyperdynamic left ventricular ejection fraction in the intensive care unit.
Crit Care, 19:288, 2015.
(PDF)
(doi:10.1186/s13054-015-1012-8)
(PMID:26250903)
Lehman LH, Johnson
MJ, Nemati S, Adams RP, Mark RG.
Bayesian nonparametric learning of switching dynamics in cohort physiological
time series: Application in critical care patient monitoring.
In Chen Z, editor, Advanced State Space Methods for Neural and Clinical
Data, 257–282. Cambridge University Press, 2015.
Mulholland H.
Understanding lactate in an intensive care setting.
M.Eng. Thesis, Department of Electrical Engineering and Computer Science,
Massachusetts Institute of Technology, Cambridge, MA, June 2015.
(PDF)
Celi LA, Moseley E,
Moses C, Ryan P, Somai M, Stone D, Tang K.
From pharmacovigilance to clinical care optimization.
Big Data, 2(3):134–141, Sept. 2014.
Online ahead of print: August 13, 2014.
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(doi:10.1089/big.2014.0008)
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Ghassemi MM,
Richter SE, Eche IM, Chen TW, Danziger J, Celi LA.
A data-driven approach to optimized medication dosing: a focus on heparin.
Intensive Care Med, online publication, Aug. 2014.
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(doi:10.1007/s00134-014-3406-5)
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Moseley ET, Hsu
DJ, Stone DJ, Celi LA.
Beyond open big data: Addressing unreliable research.
J Med Internet Res, 16(11):e259, 2014.
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Velasquez A,
Ghassemi M, Szolovits P, Park S, Osorio J, Dejam A, Celi L.
Long-term outcomes of minor troponin elevations in the intensive care unit.
Anaesth Intensive Care, 42(3):356–64, May 2014.
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(PMID:24794476)
Ghassemi M,
Lehman LH, Snoek J, Nemati S.
Global optimization approaches for parameter tuning in biomedical signal
processing: A focus of multi-scale entropy.
Comput Cardiol, 41:993–996, 2014.
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Moody GB, Moody B,
Silva I.
Robust detection of heart beats in multimodal data: the PhysioNet/Computing in
Cardiology Challenge 2014.
Comput Cardiol, 41:549–552, 2014.
(PDF)
Mayaud L, Lai PS,
Clifford GD, Tarrasenko L, Celi LA, Annane D.
Dynamic data during hypotensive episode improves mortality predictions among
patients with sepsis and hypotension.
Crit Care Med, 41(4):954–962, Apr. 2013.
(PMID:23385106)
Lehman LH, Nemati
S, Adams RP, Moody G, Malhotra A, Mark RG.
Tracking progression of patient state of health in critical care using inferred
shared dynamics in physiological time series.
Conf Proc IEEE Eng Med Biol Soc, 7072–5, 2013.
(PDF)
(doi:10.1109/EMBC.2013.6611187)
(PMID:24111374)
Heldt T, Verghese
GC, Mark RG.
Mathematical modeling of physiological systems.
In Batzel JJ, Bachar M, Kappel F, editors, Mathematical Modeling and
Validation in Physiology: Applications to the Cardiovascular and Respiratory
Systems, Lecture Notes in Mathematics, chapter 2, 21–41. Springer
Verlag, 2013.
(PDF)
Lehman L, Nemati
S, Adams RP, Mark R.
Discovering shared dynamics in physiological signals: Application to patient
monitoring in ICU.
Conf Proc IEEE Eng Med Biol Soc. 2012, 5939–42, 2012.
(PDF)
(PMID:23367281)
Lehman L, Saeed
M, Long W, Lee J, Mark R.
Risk stratification of ICU patients using topic models inferred from
unstructured progress notes.
AMIA Annu Symp Proc, 505–11, Nov. 2012.
(PDF)
(PMID:23304322)
Silva I, Moody G,
Scott DJ, Celi LA, Mark RG.
Predicting in-hospital mortality of ICU patients: The PhysioNet/Computing in
Cardiology Challenge 2012.
Comput Cardiol, 39:245–248, 2012.
(PDF)
Mandelbaum
T, Scott DJ, Lee J, Mark RG, Malhotra A, Waikar S, Howell MD, Talmor DS.
Outcome of critically ill patients with acute kidney injury using the Acute
Kidney Injury Network criteria.
Crit Care Med, 39(12):2659–2664, Dec. 2011.
Preprint available online 14 July 2011.
(PMID:21765352)
Nemati S, Abdala
O, Bazan V, Tim-Yeh S, Malhotra A, Clifford GD.
A non-parametric surrogate-based test of significance for T-wave alternans
detection.
IEEE Transactions On Biomedical Engineering, 58(5):1356–64, May
2011.
Epub Apr 19, 2010.
(PDF)
(doi:10.1109/TBME.2010.2047859)
(PMID:20409986)
Saeed M, Villarroel
M, Reisner AT, Clifford G, Lehman L, Moody G, Heldt T, Kyaw TH, Moody B, Mark
RG.
Multiparameter intelligent monitoring in intensive care II (MIMIC-II): A
public-access intensive care unit database.
Crit Care Med, 39(5):952–960, 2011.
(PDF)
(doi:10.1097/CCM.0b013e31820a92c6)
(PMID:21283005)
Lee J, Scott DJ,
Villarroel M, Clifford GD, Saeed M, Mark RG.
Open-access MIMIC-II database for intensive care research.
Conf Proc IEEE Eng Med Biol Soc. 2011, 8315–8318, 2011.
(PDF)
(PMID:22256274)
Moody GB, Mark RG,
Goldberger AL.
PhysioNet: physiologic signals, time series, and related open source software
for basic, clinical, and applied research.
Proc 33rd IEEE EMBS, 8327–8330, 2011.
(PDF)
(PMID:22256277)
Silva I, Moody G,
Celi L.
Improving the quality of ECGs collected using mobile phones: The
PhysioNet/Computing in Cardiology Challenge 2011.
Comput Cardiol, 38:273–276, 2011.
(PDF)
Nemati S,
Malhotra A, Clifford GD.
Data fusion for improved respiration rate estimation.
EURASIP Journal on Advances in Signal Processing,
2010(926305):1–10, May 2010.
(PDF)
(doi:10.1155/2010/926305)
(PMID:20806056)
Celi LA, Hug C,
Villarroel M, Clifford G, Mark R.
Issues with data mining: predictive modeling on critically ill patients who
develop acute renal failure.
Crit Care Med, Jan. 2010.
Celi LA, Villarroel
M, Davidzon G, Galvin S, Clifford G, Galvin I, Bunton R, Szolovits P.
Comparing the performance of customized mortality prediction models using local
database against current standard scoring systems.
Crit Care Med, Jan. 2010.
Kashif FM, Heldt T,
Novak V, Czosnyka M, Verghese GV.
Model-based cerebrovascular monitoring.
Oral contribution, American Heart Association 2010 International Stroke
Conference, Feb. 2010.
Lojun SL, Sauper CJ,
Medow M, Long WJ, Mark RG, Barzilay R.
Investigating resuscitation code assignment in the intensive care unit using
structured and unstructured data.
AMIA Annu Symp Proc, 2010:467–471, 2010.
(PDF)
(PMID:21347022)
Ranger M, Heldt T,
O'Leary H, Suleymanci M, Johnston C, du Plessis AJ.
Description of global cerebral activation during noxious stimulus in critically
ill preterm infants.
Poster presentation, 8th International Workshop on Pediatric Pain, Mar.
2010.
Ranger M, Heldt T,
O'Leary H, Suleymanci M, Johnston C, du Plessis AJ.
Description of global cerebral activation during noxious stimulus in critically
ill preterm infants.
Poster contribution to the 5th International Workshop on Neonatal Brain
Monitoring and Neuroprotection, Jan. 2010.
Sun JX, Reisner AT, Saeed
M, Heldt T, Mark RG.
The cardiac output from blood pressure algorithms trial.
Crit Care Med, 37(1):72–80, Jan. 2009.
(PDF)
(PMID:19112280)
Celi LA, Villarroel M,
Clifford G, Szolovits P.
Local customized mortality prediction modeling for patients with acute
kidneyinjury admitted to the intensive care unit.
Presentation at the Sixth International Meeting on Computational Intelligence
Methods for Bioinformatics and Biostatistics, Genova, Italy (http://cibb09.disi.unige.it), Oct.
2009.
Kashif FM, Heldt T,
Novak V, Czosnyka M, Verghese GV.
Non-invasive model-based cerebrovascular monitoring for neurotrauma.
Poster presentation, CIMIT Innovation Congress 2009. (Awarded the âMost
Innovative Research Awardâ), Oct. 2009.
Chen T.
Cardiac output estimation from arterial blood pressure waveforms using the
MIMIC II database.
M.Eng. Thesis, Department of Electrical Engineering and Computer Science,
Massachusetts Institute of Technology, Cambridge, MA, June 2009.
(PDF)
Deshmane AV.
False arrhythmia alarm suppression using ECG, ABP, and photoplethysmogram.
M.Eng. Thesis, Department of Electrical Engineering and Computer Science,
Massachusetts Institute of Technology, Cambridge, MA, Sept. 2009.
(PDF)
Dawoud F, Wagner G,
Moody G, Horácek B.
Using inverse electrocardiography to image myocardial infarction–reflecting on
the 2007 PhysioNet/Computers in Cardiology Challenge.
J Electrocardiol, 41(6):630–5, 2008.
(PMID:18954610)
Li Q, Clifford GD.
Suppression of false arrhythmia alarms from ICU monitors using heart rate
estimation based on combined arterial blood pressure and ECG analysis.
Shanghai, China, May 2008.
Lian J, Clifford GD,
Müessig D, Lang V.
Open source model for generating RR intervals in atrial fibrillation and
beyond.
BioMedical Engineering OnLine, 6(9):1–16, Mar. 2007.
doi:10.1186/1475-925X-6-9.
(PDF)
(PMID:17335580)
Sameni R,
Clifford GD, Shamsollahi MB, Jutten C.
Multi-channel ECG and noise modeling: application to maternal and fetal ECG
signals.
EURASIP Journal on Advances in Signal Processing,
2007(43407):1–14, 2007.
(PDF)
(doi:10.1155/2007/43407)
Jia X, Malhotra A,
Talmor D, Saeed M, Mark RG.
Risk factors for acute lung injury and acute respiratory distress syndrome in
patients mechanically ventilated > 48 hours in the ICU.
Presentation at the SSCM Critical Care Congress, Orlando FL, Feb. 2007.
Wolfberg AJ, Syed
Z, Clifford GD, Tin A, Guttag J, du Plessis AJ.
Entropy of fetal EKG associated with intrapartum fever.
Presented at the New England Conference on Perinatal Research, Oct. 2007.
(PDF)
Heldt T.
Continuous blood pressure-derived cardiac output monitoring — should we be
thinking long term?
J Appl Physiol, 101(2):373–374, 2006.
Invited editorial.
(PDF)
(PMID:16690788)
Parlikar TA,
Heldt T, Verghese GC.
Cycle-averaged models of cardiovascular dynamics.
IEEE Transactions on Circuits and Systems–I: Fundamental Theory and
Applications, 53(11):2459–2468, 2006.
(PDF)
Roberts JM, Parlikar
TA, Heldt T, Verghese GC.
Bayesian networks for cardiovascular monitoring.
Proceedings of the 28th IEEE Engineering in Medicine and Biology
Conference, 205–209, 2006.
(PDF)
(PMID:17946804)
Saeed M, Mark RG.
A novel method for the efficient retrieval of similar multiparameter
physiologic time series using Wavelet-based symbolic representations.
AMIA Annu Symp Proc, 679–683, 2006.
(PDF)
(PMID:17238427)
Clifford GD, Oefinger MB.
Ch 2: ECG Acquisition, Storage, Transmission, and Representation in
Advanced Methods and Tools for ECG Analysis, In: Clifford et al.[4].
27–53.
McSharry PE, Clifford GD.
Ch 4: Models for ECG and RR interval Processes in Advanced Methods and
Tools for ECG Analysis, In: Clifford
et al.[4].
101–133.
Reisner
AT, Clifford GD, Mark RG.
Ch 1: The Physiological Basis of the Electrocardiogram in Advanced Methods and
Tools for ECG Analysis.
In Clifford GD, Azuaje F, McSharry PE, editors, Advanced Methods and
Tools for ECG Analysis, number 1 in Engineering in Medicine and
Biology, chapter 1, 1–25. Artech House, Norwood, MA, USA, 1st ed., Oct.
2006.
Roberts JM.
Bayesian networks for
cardiovascular monitoring.
M.S. Thesis, Department of Electrical Engineering and Computer Science,
Massachusetts Institute of Technology, Cambridge, MA, June 2006.
(PDF)
Clifford GD, Tarassenko L.
Quantifying errors in spectral estimates of HRV due to beat replacement and
resampling.
IEEE Transactions in Biomedical Engineering, 52(4):630–638, 2005.
(PDF)
(doi:10.1109/TBME.2005.844028)
(PMID:15825865)
Clifford GD,
Shoeb A, McSharry PE, Janz BA.
Model-based filtering, compression and classification of the ECG.
International Journal of Bioelectromagnetism, 7(1):158–161, 2005.
(PDF)
Heldt T, Chang JL,
Chen JJS, Verghese GC, Mark RG.
Cycle-averaged dynamics of a periodically driven, closed loop circulation
model.
Control Eng Pract, 13(9):1163–1171, Sept. 2005.
(PDF)
(PMID:16050064)
Janz BA, Frassica J,
Baker C, Clifford GD, Mark RG.
A new paradigm for managing information in the ICU in response to the 80 hour
work week.
New England Surgical Society, 86:118–119, 2005.
(PDF)
Janz BA, Saeed M,
Frassica J, Clifford GD, Mark RG.
Development and optimization of a critical care alert and display (CCAD)
system using retrospective ICU databases.
AMIA Annu Symp Proc, 2005.
(PDF)
(PMID:16779281)
Janz BA, Saeed M,
Frassica J, Clifford GD, Mark RG.
Development and optimization of a Critical Care Alert and Display (CCAD)
system using retrospective ICU databases.
In AMIA Annu Symp Proc, volume 994, 2005.
(PMID:16779281)
Parlikar TA,
Verghese GC.
A simple cycle-averaged model for cardiovascular dynamics.
Proceedings of the 27th Annual IEEE Engineering in Medicine and Biology
Society Conference, 27:5490–5494, 2005.
(PDF)
(PMID:17281496)
Saeed M, Janz B,
Clifford GD, Abdala O, Kyaw T, Douglass M, Shu J, Reisner A, Long W,
Szolovits P, Heldt T, Verghese G, Moody G, Mark. R.
MIMIC II: A massive temporal database to support research in integrating
data, models, and reasoning in critical care.
AMIA conference, Oct. 2005, Washington DC., 2005.
Clifford
GD, Tarassenko L.
Segmenting cardiac-related data using sleep stages increases separation between
normal subjects and apnoeic patients.
IOP Physiol Meas, (25):N27–N35, 2004.
(PDF)
(doi:10.1088/0967-3334/25/6/N03)
(PMID:15712732)
Clifford
GD, McSharry PE.
A nonlinear artificial model for generating realistic correlated ECG, BP
and respiration.
17th international EURASIP conference, 358–360, June 2004.
Biosignal2004, Brno, Czech Republic.
(PDF)
McSharry
PE, Clifford GD.
A comparison of nonlinear noise reduction and independent component analysis
using a realistic dynamical model of the electrocardiogram.
Proc of SPIE International Symposium on Fluctuations and Noise,
5467(09):78–88, 2004.
(PDF)
Nam DS, Youn CH, Lee BH,
Clifford GD, Healey J.
QoS-constrained resource allocation for a Grid-based multiple source
electrocardiogram application.
Lecture Notes in Computer Science, 3043:352–359, 2004.
Information Systems and Information Technologies (ISIT) Workshop, (Grid
Session).
(PDF)
Oefinger M,
Moody GB, Krieger M, Mark RG.
System for remote multi-channel real-time monitoring of ECG via the internet.
Comput Cardiol, 31:753–756, 2004.
(PDF)
Oefinger M,
Zong W, Krieger M, Mark RG.
An interactive web-based tool for multi-scale physiological data visualization.
Comput Cardiol, 31:569–572, 2004.
(PDF)
Youn CH, Kim B, Nam DS,
Shim EB, Clifford GD, Healey J.
Resource reconfiguration scheme based on temporal quorum status estimation in
computational grids.
Lecture Notes in Computer Science, 699–707, 2004.
(PDF)
Youn CH, Nam DS, Kim B,
An ES, Lee BH, Shim EB, Clifford GD.
QoS
quorum-constrained resource management in wireless grid.
Lecture Notes in Computer Science, 3222:65–72, 2004.
Network and Parallel Computing, (NPC 2004), IFIP International Conference,
Wuhan, China, oct 18–20.
(PDF)
Costa M, Moody GB,
Henry I, Goldberger AL.
Physionet: an NIH research resource for complex signals.
J Electrocardiology, 36(suppl):139–144, 2003.
(PDF)
McSharry PE,
Clifford GD, Tarassenko L.
A dynamical model for generating synthetic electrocardiogram signals.
IEEE Trans Biomed Eng, 50(3):289–294, 2003.
(PDF)
(doi:10.1109/TBME.2003.808805)
(PMID:12669985)
Heldt T, Chang JL,
Verghese GC, Mark RG.
Cycle-averaged models of cardiovascular dynamics.
Modelling and Control in Biomedical Systems 2003, 387–392, 2003.
(PDF)
Heldt T,
Verghese GC, Kamm RD, Mark RG.
Modeling cardiovascular response to gravitational stress–combined forward and
inverse approach.
In IFMBE Proceedings — World Congress on Medical Physics and
Biomedical Engineering, 2003.
Moody GB, Dakin M,
Mark RG.
Web-enabled physiologic signal processing and analysis.
Proc. World Congress on Medical Physics and Biomedical
Engineering, 2003.
(PDF)
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