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

Machine Learning (3340) Clinical Information and Decision Making (3892) Methods and Instruments in Medical Informatics (437) Artificial Intelligence (5023)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78964, first published .
Man in lab coat at computer with predictive machine learning models displayed on screens

Prediction of First and Multiple Antiretroviral Therapy Interruptions in People Living With HIV: Comparative Survival Analysis Using Cox and Explainable Machine Learning Models

Prediction of First and Multiple Antiretroviral Therapy Interruptions in People Living With HIV: Comparative Survival Analysis Using Cox and Explainable Machine Learning Models

Authors of this article:

Donald Salami1 Author Orcid Image ;   Emily Koech2 Author Orcid Image ;   Janet M Turan3 Author Orcid Image ;   Kristen A Stafford1 Author Orcid Image ;   Lilly Muthoni Nyagah4 Author Orcid Image ;   Stephen Ohakanu1 Author Orcid Image ;   Anthony K Ngugi5 Author Orcid Image ;   Manhattan Charurat1 Author Orcid Image
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Journals

  1. Phiri J, Zimba A, Njovu C, Kashoka A, Chiboma I, Chiwele M, Sinkala T, Mutale J, Lumpa M. A multi-facility data quality assessment of electronic health records for trustworthy AI in HIV public health in Zambia. Discover Artificial Intelligence 2026;6(1) View
  2. Cranfield B. Understanding HIV risk across populations. BMC Global and Public Health 2026;4(1) View