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

Early Results from COVID-19 Studies (366) Clinical Information and Decision Making (1953) Epidemiology (197) Machine Learning (2121)

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
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Eid A, Khayyat R, Alwafa S, Rabee H. Hybrid phenotype-guided modeling across algorithm–feature regimes with application to ICU mortality prediction for Acinetobacter baumannii. Scientific Reports 2026 View
  2. Kyriazopoulou E, Karakike E, Myrianthefs P. Artificial Intelligence- and Machine Learning-Assisted Subphenotyping for Personalized Immunotherapy in Sepsis. Journal of Personalized Medicine 2026;16(1):28 View