Leo Anthony Celi
Leo Anthony Celi
Verified email at mit.edu
Title
Cited by
Cited by
Year
MIMIC-III, a freely accessible critical care database
AEW Johnson, TJ Pollard, L Shen, HL Li-Wei, M Feng, M Ghassemi, ...
Scientific data 3 (1), 1-9, 2016
28872016
The murine CAR homolog is a receptor for coxsackie B viruses and adenoviruses
JM Bergelson, A Krithivas, L Celi, G Droguett, MS Horwitz, T Wickham, ...
Journal of virology 72 (1), 415-419, 1998
4681998
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
3912018
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
2932018
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
2492010
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
2452012
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
1712013
The eICU: it’s not just telemedicine
LA Celi, E Hassan, C Marquardt, M Breslow, B Rosenfeld
Critical care medicine 29 (8), N183-N189, 2001
1562001
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
1542015
“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
1532013
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), 1-8, 2012
1522012
Human cerebrovascular and ventilatory CO2 reactivity to end‐tidal, arterial and internal jugular vein PCO2
K Peebles, L Celi, K McGrattan, C Murrell, K Thomas, PN Ainslie
The Journal of physiology 584 (1), 347-357, 2007
1422007
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
1412012
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
1382018
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), 1-8, 2015
1362015
Guidelines for reinforcement learning in healthcare
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...
Nature medicine 25 (1), 16-18, 2019
1352019
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
1322011
Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts
AS Neto, RO Deliberato, AEW Johnson, LD Bos, P Amorim, SM Pereira, ...
Intensive care medicine 44 (11), 1914-1922, 2018
1202018
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
1152018
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
1082017
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