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

Reviews in Medical Informatics (106) Clinical Information and Decision Making (1805) Machine Learning (1962) Cardiac Risk and Cardiac Risk Calculators (92) Neurology and Neurosciences (265) Cancer Prognosis Models and Machine Learning (49) Data Science (347)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68898, first published .
The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review

The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review

The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review

Authors of this article:

Norah Hamad Alhumaidi1 Author Orcid Image ;   Doni Dermawan2 Author Orcid Image ;   Hanin Farhana Kamaruzaman3, 4 Author Orcid Image ;   Nasser Alotaiq5 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

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  2. Gomeni R, Bressolle‐Gomeni F. AI‐NLME: A New Artificial Intelligence‐Driven Nonlinear Mixed Effect Modeling Approach for Analyzing Longitudinal Data in Randomized Placebo‐Controlled Clinical Trials. Clinical and Translational Science 2025;18(9) View