Machine learning and pre-exposure prophylaxis: A survey
Judith N. Nyakanga
Abstract:The goal of this paper was to study how machine learning techniques have been applied in PrEP (Pre-exposure prophylaxis) and HIV prediction to identify individuals who are at a higher risk of acquiring HIV infection and to optimize the used of PrEP, which is an effective method of preventing HIV transmission. The results indicate that machine learning has been used to HIV risk, optimizing PrEP use, developing personalized PrEP regimens, and identifying PrEP candidates. In predicting HIV risk, machine learning … Show more
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