Article

Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea)

2023-05-16

Abstract excerpt

<h4>Background: </h4> Viral load (VL) suppression represents a key to the end of the global HIV epidemic. It is critical for healthcare providers and people living with HIV (PLHIV) to be able to predict viral suppression. This study was conducted to explore the possibility of predicting viral suppression among HIV patients using machine learning (ML) algorithms. <h4>Methods: </h4> Anonymized data were used from a...

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Literature Corpus work: 9cc3a2a5-db56-5547-b721-1ee2e2a3f47d
DOI: 10.21203/rs.3.rs-2912310/v1

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