U.S., Oct. 14 -- ClinicalTrials.gov registry received information related to the study (NCT07870460) titled 'Multimodal Machine Learning for Predicting Reduced Participation in Elite Youth Football' on Oct. 06.
Brief Summary: This study protocol describes a prospective longitudinal observational study designed to evaluate the accuracy of machine learning models in predicting the short-term (24-72 h) risk of reduced participation (training modification or absence due to health complaints, injury, or illness) among elite youth football players (categories U16 to U19).
Full participation in training and matches is a key determinant of athletic development and squad availability in elite youth football. Conventional injury surveillance typica...