An Explainable XGBoost Framework for Mortality Prediction in People Living with HIV Receiving Antiretroviral Therapy
Mortality remains an important concern among people living with HIV (PLHIV) receiving antiretroviral therapy (ART), particularly when high-risk patients are not identified early. This study presents an explainable mortality prediction approach based on an optimized Extreme Gradient Boosting (XGBoost) classifier. A retr...