|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
|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 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
|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
A Johnson, L Bulgarelli, T Pollard, LA Celi, R Mark, S Horng IV
|Guidelines for reinforcement learning in healthcare|
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...
Nature medicine 25 (1), 16-18, 2019
|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, 1914-1922, 2018
|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, 1654-1661, 2012
|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
|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
|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
|The “inconvenient truth” about AI in healthcare|
T Panch, H Mattie, LA Celi
NPJ digital medicine 2 (1), 77, 2019
|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
|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
|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
|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
|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
|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
|“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
|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