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

Norah Hamad Alhumaidi   1 * , MD ;   Doni Dermawan   2 * , MSc ;   Hanin Farhana Kamaruzaman   3, 4 , MSc ;   Nasser Alotaiq   5 , PhD

1 College of Medicine, Qassim University, Buraidah, Saudi Arabia

2 Applied Biotechnology, Faculty of Chemistry, Warsaw University of Technology, Warsaw, Poland

3 Malaysian Health Technology Assessment Section, Medical Development Division, Ministry of Health Malaysia, Wilayah Persekutuan Putrajaya, Malaysia

4 Health Economics and Health Technology Assessment, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom

5 Health Sciences Research Center, Imam Mohammad ibn Saud Islamic University, Riyadh, Saudi Arabia

*these authors contributed equally

Corresponding Author:

  • Nasser Alotaiq, PhD
  • Health Sciences Research Center
  • Imam Mohammad ibn Saud Islamic University
  • Othman Bin Affan Rd. Al-Nada 13317
  • Riyadh
  • Saudi Arabia
  • Phone: 966 50-411-9153
  • Email: naalotaiq@imamu.edu.sa