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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Sep 9, 2020
Date Accepted: Dec 14, 2020
Date Submitted to PubMed: Jan 5, 2021

The final, peer-reviewed published version of this preprint can be found here:

Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach

Vaid A, Jaladanki SK, Xu J, Teng S, Kumar A, Lee S, Somani S, Paranjpe I, De Freitas JK, Wanyan T, Johnson KW, Bicak M, Klang E, Kwon YJ, Costa A, Zhao S, Miotto R, Charney AW, Böttinger E, Fayad ZA, Nadkarni GN, Wang F, Glicksberg BS

Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach

JMIR Med Inform 2021;9(1):e24207

DOI: 10.2196/24207

PMID: 33400679

PMCID: 7842859

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Per the author's request this version is not available.