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

BackgroundAntiretroviral therapy (ART) has transformed HIV from a fatal illness to a chronic disease. Given the high rate of treatment interruptions, HIV programs use a range of approaches to support individuals in adhering to ART and in re-engaging those who interrupt treatm...

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Bibliographic Details
Main Authors: Matthew-David Ogbechie, Christa Fischer Walker, Mu-Tien Lee, Amina Abba Gana, Abimbola Oduola, Augustine Idemudia, Matthew Edor, Emily Lark Harris, Jessica Stephens, Xiaoming Gao, Pai-Lien Chen, Navindra Etwaroo Persaud
Format: Article
Language:English
Published: JMIR Publications 2023-05-01
Series:JMIR AI
Online Access:https://ai.jmir.org/2023/1/e44432

Internet

https://ai.jmir.org/2023/1/e44432

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