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Leo Anthony Celi
Leo Anthony Celi
Verified email at mit.edu
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Year
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
59832016
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
8712018
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
8102018
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
5072020
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
4881998
Guidelines for reinforcement learning in healthcare
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...
Nature medicine 25 (1), 16-18, 2019
3552019
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
3412018
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
3142018
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
3102012
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
2902012
The “inconvenient truth” about AI in healthcare
T Panch, H Mattie, LA Celi
NPJ digital medicine 2 (1), 77, 2019
2732019
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
2722010
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
2272015
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
2142020
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
2102015
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
2052013
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
1992017
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
1972018
“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
1882013
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
1882012
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