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

Tools, Programs and Algorithms (404) Chronic Conditions (473) Generative Language Models Including ChatGPT (782) Foundation Models and Their Applications in AI (54) Electronic Health Records (1367) Clinical Informatics (1417)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70096, first published .
Extracting Multifaceted Characteristics of Patients With Chronic Disease Comorbidity: Framework Development Using Large Language Models

Extracting Multifaceted Characteristics of Patients With Chronic Disease Comorbidity: Framework Development Using Large Language Models

Extracting Multifaceted Characteristics of Patients With Chronic Disease Comorbidity: Framework Development Using Large Language Models

Authors of this article:

Junyan Zhang1 Author Orcid Image ;   Junchen Zhou2 Author Orcid Image ;   Liqin Zhou2 Author Orcid Image ;   Zhichao Ba3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Deng Y, Dennstädt F, Filchenko I, van der Meer J, Yang X, Schmidt M, Bassetti C, Tzovara A, Denecke K. Comorbidity Classification from Clinical Free-Text using Large Language Models: Application to Sleep Disorder Patients. Journal of Medical Systems 2026;50(1) View
  2. Zhang Q, Zhang R, Ma W, Zhao B, Zhu X. Bridging Population Patterns and Individual Prediction: Framework for Prospective Multimorbidity Study. JMIR Medical Informatics 2026;14:e84261 View