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

Clinical Information and Decision Making (1939) Obesity (118) Electronic Health Records (1331) Ontologies, Classifications, and Coding (332) Digital Biomarkers and Digital Phenotyping (292) Clinical Informatics (1339) Precision Medicine (163) Incidence and Prevalence of Obesity (11)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70140, first published .
Deep Phenotyping of Obesity: Electronic Health Record–Based Temporal Modeling Study

Deep Phenotyping of Obesity: Electronic Health Record–Based Temporal Modeling Study

Deep Phenotyping of Obesity: Electronic Health Record–Based Temporal Modeling Study

Authors of this article:

Xiaoyang Ruan1 Author Orcid Image ;   Shuyu Lu1 Author Orcid Image ;   Liwei Wang2 Author Orcid Image ;   Andrew Wen1 Author Orcid Image ;   Sameer Murali3 Author Orcid Image ;   Hongfang Liu1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Xiaoyang Ruan   1 , PhD ;   Shuyu Lu   1 , MS ;   Liwei Wang   2 , MD, PhD ;   Andrew Wen   1 , MS ;   Sameer Murali   3 , MD ;   Hongfang Liu   1 , PhD

1 Department of Health Data Science and AI, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States

2 Department of Clinical and Health Informatics, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States

3 Department of Surgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States

Corresponding Author:

  • Hongfang Liu, PhD
  • Department of Health Data Science and AI
  • McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston
  • 7000 Fannin St
  • Houston, TX 77030
  • United States
  • Phone: 1 713-500-3924
  • Email: hongfang.liu@uth.tmc.edu