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

JMIR Theme Issue: COVID-19 Special Issue (2501) Decision Support for Health Professionals (1364) Electronic Health Records (1199) Machine Learning (1772) Theme Issue: Medical Informatics and COVID-19 (118) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1532)

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

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

Authors of this article:

Akhil Vaid1 Author Orcid Image ;   Sulaiman Somani1 Author Orcid Image ;   Adam J Russak1, 2 Author Orcid Image ;   Jessica K De Freitas1, 3 Author Orcid Image ;   Fayzan F Chaudhry1, 3 Author Orcid Image ;   Ishan Paranjpe1 Author Orcid Image ;   Kipp W Johnson3 Author Orcid Image ;   Samuel J Lee1 Author Orcid Image ;   Riccardo Miotto1, 3 Author Orcid Image ;   Felix Richter1, 3 Author Orcid Image ;   Shan Zhao1, 4 Author Orcid Image ;   Noam D Beckmann3 Author Orcid Image ;   Nidhi Naik1 Author Orcid Image ;   Arash Kia5, 6 Author Orcid Image ;   Prem Timsina5, 6 Author Orcid Image ;   Anuradha Lala5, 7 Author Orcid Image ;   Manish Paranjpe8 Author Orcid Image ;   Eddye Golden1 Author Orcid Image ;   Matteo Danieletto1 Author Orcid Image ;   Manbir Singh1 Author Orcid Image ;   Dara Meyer3 Author Orcid Image ;   Paul F O'Reilly3, 9, 10 Author Orcid Image ;   Laura Huckins3, 9, 10 Author Orcid Image ;   Patricia Kovatch11 Author Orcid Image ;   Joseph Finkelstein5 Author Orcid Image ;   Robert M. Freeman5, 6 Author Orcid Image ;   Edgar Argulian12, 13 Author Orcid Image ;   Andrew Kasarskis3, 5, 14, 15 Author Orcid Image ;   Bethany Percha2 Author Orcid Image ;   Judith A Aberg2, 16 Author Orcid Image ;   Emilia Bagiella6, 7 Author Orcid Image ;   Carol R Horowitz2, 5 Author Orcid Image ;   Barbara Murphy2 Author Orcid Image ;   Eric J Nestler17, 18 Author Orcid Image ;   Eric E Schadt3, 14 Author Orcid Image ;   Judy H Cho19 Author Orcid Image ;   Carlos Cordon-Cardo20 Author Orcid Image ;   Valentin Fuster7, 12, 13 Author Orcid Image ;   Dennis S Charney21 Author Orcid Image ;   David L Reich4 Author Orcid Image ;   Erwin P Bottinger1, 22 Author Orcid Image ;   Matthew A Levin3, 4 Author Orcid Image ;   Jagat Narula12, 13 Author Orcid Image ;   Zahi A Fayad23, 24 Author Orcid Image ;   Allan C Just25 Author Orcid Image ;   Alexander W Charney3, 9, 10 Author Orcid Image ;   Girish N Nadkarni1, 2, 19 Author Orcid Image ;   Benjamin S Glicksberg1, 3 Author Orcid Image
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Sven Awege Sven Awege @SVENNIECO

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: M… https://t.co/ap2kKl601T

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JMIR Publications JMIR Publications @jmirpub

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Chris Tack Chris Tack @Allpowersphysio

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2xParked 2xParked @2xParked

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Mapping COVID Mapping COVID @MappingCOVID

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8:36 PM · Nov 12, 2020

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GoldHealthInsurance GoldHealthInsurance @insurancegold1

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