Personalized Recommendation Method of “Carbohydrate-Protein” Supplement Based on Machine Learning and Enumeration Method
Xiangyu Wang,
Zihao Li,
Hao Wu
Abstract:Carbohydrate-protein supplement (CPS) intake is a well-established strategy for enhancing athletic performance, promoting glycogen replenishment, maintaining a positive nitrogen balance, and minimizing muscle damage in endurance athletes. Current CPS intake recommendations often rely solely on weight, lacking personalization. This study aimed to develop a machine learning-based personalized CPS intake recommendation system for endurance sports enthusiasts. We recruited 171 participants and collected 45 indicat… Show more
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