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

Clinical Information and Decision Making (37) General Articles on Innovation and Technology in Public Health (55) HIV/AIDS/STI Prevention and Care (823) Computer-Aided Diagnosis (102) Artificial Intelligence (1216) Machine Learning (1401)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44432, first published .
Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach

Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach

Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach

Authors of this article:

Matthew-David Ogbechie1 Author Orcid Image ;   Christa Fischer Walker2 Author Orcid Image ;   Mu-Tien Lee3 Author Orcid Image ;   Amina Abba Gana1 Author Orcid Image ;   Abimbola Oduola1 Author Orcid Image ;   Augustine Idemudia1 Author Orcid Image ;   Matthew Edor1 Author Orcid Image ;   Emily Lark Harris4 Author Orcid Image ;   Jessica Stephens5 Author Orcid Image ;   Xiaoming Gao3 Author Orcid Image ;   Pai-Lien Chen3 Author Orcid Image ;   Navindra Etwaroo Persaud2 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Matthew-David Ogbechie   1 * , BSc ;   Christa Fischer Walker   2 * , PhD ;   Mu-Tien Lee   3 , MSc ;   Amina Abba Gana   1 , MSc ;   Abimbola Oduola   1 , PhD ;   Augustine Idemudia   1 , MPH, MD ;   Matthew Edor   1 , BSc ;   Emily Lark Harris   4 , MA ;   Jessica Stephens   5 , MPH ;   Xiaoming Gao   3 , MSc ;   Pai-Lien Chen   3 , PhD ;   Navindra Etwaroo Persaud   2 * , MBBS, MPH, PhD

1 FHI 360, Abuja, Nigeria

2 FHI 360, Washington, DC, United States

3 FHI 360, Durham, NC, United States

4 United States Agency for International Development, Dar es Salaam, United Republic of Tanzania

5 United States Agency for International Development, Washington, DC, United States

*these authors contributed equally

Corresponding Author:

  • Navindra Etwaroo Persaud, MBBS, MPH, PhD
  • FHI 360
  • 1825 Connecticut Ave NW
  • Washington, DC, 20009
  • United States
  • Phone: 1 2028848017
  • Email: npersaud@fhi360.org