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Leo Anthony Celi
Leo Anthony Celi
Email yang diverifikasi di mit.edu
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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
78622016
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
13172018
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
11002018
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
9702020
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
8572023
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
4961998
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
4762018
Guidelines for reinforcement learning in healthcare
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...
Nature medicine 25 (1), 16-18, 2019
4742019
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
4212018
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
4082012
The “inconvenient truth” about AI in healthcare
T Panch, H Mattie, LA Celi
NPJ digital medicine 2 (1), 1-3, 2019
4052019
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
3762022
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
3352020
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
3342012
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
2922010
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, 1-8, 2015
2632015
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
2502015
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
2482018
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
2482017
Deep reinforcement learning for sepsis treatment
A Raghu, M Komorowski, I Ahmed, L Celi, P Szolovits, M Ghassemi
arXiv preprint arXiv:1711.09602, 2017
2322017
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