Using an interactive web application to identify pre-exposure prophylaxis adherence among men who have sex with men.

ABSTRACT:

Background

Men who have sex with men (MSM) are at a high risk for HIV infection. While pre-exposure prophylaxis (PrEP) is an effective oral preventive strategy, its success is largely dependent on consistent medication adherence.

Objective

The aim of this study was to develop the machine learning web application and evaluate the performance in predicting PrEP adherence.

Methods

The PrEP prospective cohort study of the MSM population conducted in Western China from 2019 to 2023, and we collected adherence data and personal characteristics data from 747 MSM. Predictor variables were screened and the performance of several machine learning methods in predicting nonadherent behaviors were compared.

Results

A total of 11 candidate variables were screened that predic

SUBMITTER: Lin B 

PROVIDER: S-EPMC11365445 | biostudies-literature | 2024 Jul-Sep

REPOSITORIES: biostudies-literature