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

Formative Evaluation of Digital Health Interventions (5306) Clinical Informatics (2357) Clinical Information and Decision Making (3841) New Methods (1840) Adoption and Change Management of eHealth Systems (1145) Decision Support for Health Professionals (2308) Machine Learning (3299) Development and Evaluation of Research Methods, Instruments and Tools (1389)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92820, first published .
Doctor analyzing medical scans of skeleton, brain, and heart on laptop

Improving Models to Predict Care Utilization Using Machine Learning: Retrospective Observational Study

Improving Models to Predict Care Utilization Using Machine Learning: Retrospective Observational Study

Authors of this article:

Christopher Kitchen1 Author Orcid Image ;   Talan Zhang1 Author Orcid Image ;   Klaus Lemke1 Author Orcid Image ;   Chintan Pandya1 Author Orcid Image ;   Hadi Kharrazi1, 2 Author Orcid Image ;   Jonathan P Weiner1 Author Orcid Image
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Journals

  1. Septanto A, Zulkarnain H, Purwaningsih , Indarto M. The role of artificial intelligence in health insurance systems for managing multimorbidity (communicable and non-communicable diseases) in older adults: A scoping review. BIO Web of Conferences 2026;255:04006 View