Predicting HIV Status among Men Who Have Sex with Men in Bulawayo & Harare, Zimbabwe Using Bio-Behavioural Data, Recurrent Neural Networks, and Machine Learning Techniques

Predicting HIV Status among Men Who Have Sex with Men in Bulawayo & Harare, Zimbabwe Using Bio-Behavioural Data, Recurrent Neural Networks, and Machine Learning Techniques

HIV and AIDS continue to be major public health concerns globally. Despite significant progress in addressing their impact on the general population and achieving epidemic control, there is a need to improve HIV testing, particularly among men who have sex with men (MSM). This study applied deep and...

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Bibliographic Details
Main Authors: Innocent Chingombe, Tafadzwa Dzinamarira, Diego Cuadros, Munyaradzi Paul Mapingure, Elliot Mbunge, Simbarashe Chaputsira, Roda Madziva, Panashe Chiurunge, Chesterfield Samba, Helena Herrera, Grant Murewanhema, Owen Mugurungi, Godfrey Musuka
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Tropical Medicine and Infectious Disease
Subjects:
HIV/AIDS
status
MSM
deep learning
machine learning
prediction models
Online Access:https://www.mdpi.com/2414-6366/7/9/231

Internet

https://www.mdpi.com/2414-6366/7/9/231

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