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Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70096, first published .
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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

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  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
  3. Jin R, Ling C, Hou Y, Sun Y, Li N, Han J, Sheng J, Wang Q, Liu Y, Zheng S, Ren X, Chen C, Wang J, Li C. Augmenting Large Language Model With Prompt Engineering and Supervised Fine-Tuning in Non-Small Cell Lung Cancer Tumor-Node-Metastasis Staging: Framework Development and Validation. JMIR AI 2026;5:e77988 View
  4. González Zazueta L, López Covarrubias B, Navarro Cota C, Vázquez Briseño M, Nieto Hipólito J, Romo Cárdenas G, Avilés Rodríguez G. Evaluation Frameworks for Clinical Foundation Models in Specific Tasks of Unstructured Medical Text Analysis: A Scoping Review. Healthcare 2026;14(13):1865 View
  5. Chang Y, Chu C. Applying artificial intelligence to automate clinical data extraction from veterinary electronic health records: A practical guidance and comparative scoping review. Veterinary Pathology 2026 View