Machine Learning Algorithms for Adverse Drug Reactions Prediction and Identifying Its Determinants Among HIV Patients on Antiretroviral Therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia

Our research shows that HIV patients who are at a high risk of adverse drug reactions and those who can recognize the predictive traits associated with the ADRs can be categorized according to how effectively their ART treatment is working. However, our research may help address the pressing public health issue of diagnosing and treating HIV-positive individuals.