Machine learning for risk prediction of infectious diseases: a scoping review of application, predictive performance, and reporting gaps.
BACKGROUND Infectious diseases remain a major cause of global morbidity and mortality, with machine learning (ML) emerging as a promising approach for risk prediction. However, the heterogeneity of ML applications across diseases, algorithms, and validation practices impedes evidence synthesis and identification of bes...