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

Early Results from COVID-19 Studies (338) Clinical Information and Decision Making (1655) Epidemiology (175) Machine Learning (1738)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46807, first published .
Identification and Prediction of Clinical Phenotypes in Hospitalized Patients With COVID-19: Machine Learning From Medical Records

Identification and Prediction of Clinical Phenotypes in Hospitalized Patients With COVID-19: Machine Learning From Medical Records

Identification and Prediction of Clinical Phenotypes in Hospitalized Patients With COVID-19: Machine Learning From Medical Records

Authors of this article:

Tom Velez1 Author Orcid Image ;   Tony Wang2 Author Orcid Image ;   Brian Garibaldi3 Author Orcid Image ;   Eric Singman4, 5 Author Orcid Image ;   Ioannis Koutroulis6 Author Orcid Image
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Identification and Prediction of Clinical Phenotypes in Hospitalized COVID-19 Patients: A Step towards Precision Medicine https://t.co/YdoWhZdvi0

4:45 PM · Aug 29, 2023

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JMIR Formative Res: Identification and Prediction of Clinical Phenotypes in Hospitalized Patients With #covid19: Machine Learning From Medical Records https://t.co/GJ7CkcFcwS https://t.co/wdEb21Py0c

12:47 PM · Oct 06, 2023

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RT @jmirpub: JMIR Formative Res: Identification and Prediction of Clinical Phenotypes in Hospitalized Patients With #covid19: Machine Learn…

12:47 PM · Oct 06, 2023

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