Tri Baskoro Tunggul Satoto

Machine learning for risk prediction of infectious diseases: a scoping review of application, predictive performance, and reporting gaps.

ML demonstrates substantial potential for infectious disease risk prediction, however, methodological improvements-especially calibration assessment, external validation, and standardized reporting-are urgently needed.