Published on 06.11.2020 in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24018, first published September 01, 2020.

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

; Sulaiman Somani¹

; Adam J Russak^{1, 2}

; Jessica K De Freitas^{1, 3}

; Fayzan F Chaudhry^{1, 3}

; Ishan Paranjpe¹

; Kipp W Johnson³

; Samuel J Lee¹

; Riccardo Miotto^{1, 3}

; Felix Richter^{1, 3}

; Shan Zhao^{1, 4}

; Noam D Beckmann³

; Arash Kia^{5, 6}

; Prem Timsina^{5, 6}

; Anuradha Lala^{5, 7}

; Manish Paranjpe⁸

; Eddye Golden¹

; Matteo Danieletto¹

; Manbir Singh¹

; Paul F O'Reilly^{3, 9, 10}

; Laura Huckins^{3, 9, 10}

; Patricia Kovatch¹¹

; Joseph Finkelstein⁵

; Robert M. Freeman^{5, 6}

; Edgar Argulian^{12, 13}

; Andrew Kasarskis^{3, 5, 14, 15}

; Bethany Percha²

; Judith A Aberg^{2, 16}

; Emilia Bagiella^{6, 7}

; Carol R Horowitz^{2, 5}

; Barbara Murphy²

; Eric J Nestler^{17, 18}

; Eric E Schadt^{3, 14}

; Judy H Cho¹⁹

; Carlos Cordon-Cardo²⁰

; Valentin Fuster^{7, 12, 13}

; Dennis S Charney²¹

; David L Reich⁴

; Erwin P Bottinger^{1, 22}

; Matthew A Levin^{3, 4}

; Jagat Narula^{12, 13}

; Zahi A Fayad^{23, 24}

; Allan C Just²⁵

; Alexander W Charney^{3, 9, 10}

; Girish N Nadkarni^{1, 2, 19}

; Benjamin S Glicksberg^{1, 3}

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Please cite as:

Vaid A, Somani S, Russak AJ, De Freitas JK, Chaudhry FF, Paranjpe I, Johnson KW, Lee SJ, Miotto R, Richter F, Zhao S, Beckmann ND, Naik N, Kia A, Timsina P, Lala A, Paranjpe M, Golden E, Danieletto M, Singh M, Meyer D, O'Reilly PF, Huckins L, Kovatch P, Finkelstein J, Freeman RM, Argulian E, Kasarskis A, Percha B, Aberg JA, Bagiella E, Horowitz CR, Murphy B, Nestler EJ, Schadt EE, Cho JH, Cordon-Cardo C, Fuster V, Charney DS, Reich DL, Bottinger EP, Levin MA, Narula J, Fayad ZA, Just AC, Charney AW, Nadkarni GN, Glicksberg BS
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
J Med Internet Res 2020;22(11):e24018
doi: 10.2196/24018 PMID: 33027032 PMCID: 7652593

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This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2452) Decision Support for Health Professionals (1185) Electronic Health Records (1053) Machine Learning (1465) Theme Issue: Medical Informatics and COVID-19 (107) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

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