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

Scoping Review Protocols (252) Digital Health Reviews (1735) Machine Learning (2089) Chronic Conditions (437) Artificial Intelligence (2157) Development and Evaluation of Research Methods, Instruments and Tools (754)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53761, first published .
Application of Machine Learning in Multimorbidity Research: Protocol for a Scoping Review

Application of Machine Learning in Multimorbidity Research: Protocol for a Scoping Review

Application of Machine Learning in Multimorbidity Research: Protocol for a Scoping Review

Authors of this article:

Danny Jeganathan Anthonimuthu1 Author Orcid Image ;   Ole Hejlesen1 Author Orcid Image ;   Ann-Dorthe Olsen Zwisler2, 3 Author Orcid Image ;   Flemming Witt Udsen1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Chen Y, Ji M, Jin L, Dong L, Chen M, Shang X, Lan X, He Y. Risk prediction models for mortality in patients with multimorbidity: a systematic review and meta-analysis. Frontiers in Public Health 2025;13 View
  2. Tonello S, Rolla R, Tillio P, Sainaghi P, Colangelo D. Microenvironment and Tumor Heterogeneity as Pharmacological Targets in Precision Oncology. Pharmaceuticals 2025;18(6):915 View
  3. Anthonimuthu D, Knudsen A, Hejlesen O, Zwisler A, Udsen F. Application of machine learning in multimorbidity research: A scoping review. Journal of Public Health 2025 View