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

Machine Learning (2161) Clinical Information and Decision Making (1992) Artificial Intelligence (2236) Methods and Instruments in Medical Informatics (205)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78964, first published .
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

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
Article Authors Cited by Tweetations Metrics

Donald Salami   1 , PhD ;   Emily Koech   2 , MD ;   Janet M Turan   3 , PhD ;   Kristen A Stafford   1 , PhD ;   Lilly Muthoni Nyagah   4 , PhD ;   Stephen Ohakanu   1 , BEng ;   Anthony K Ngugi   5 , PhD ;   Manhattan Charurat   1 , Prof Dr

1 Center for International Health, Education and Biosecurity, Institute of Human Virology, School of Medicine, University of Maryland, Baltimore, MD, United States

2 Center for International Health, Education, and Biosecurity, Kenya, Nairobi, Kenya

3 Department of Health Policy and Organization, School of Public Health, The University of Alabama, Birmingham, AL, United States

4 Department of Strategic Information, Ministry of Health’s National AIDS and STI Control Program Kenya, Nairobi, Kenya

5 Department of Population Health, Aga Khan University Nairobi, Nairobi, Kenya

Corresponding Author:

  • Donald Salami, PhD
  • Center for International Health, Education and Biosecurity, Institute of Human Virology
  • School of Medicine, University of Maryland
  • 725 W Lombard St
  • Baltimore, MD 21201
  • United States
  • Phone: 1 410-706-8614
  • Email: dsalami@ihv.umaryland.edu