Identifying Key Factors for Predicting the Age at Peak Height Velocity in Preadolescent Team Sports Athletes Using Explainable Machine Learning

• Egile Nagusiak: Nikolaos-Orestis Retzepis (Egilea), Alexandra Avloniti (Egilea), Christos Kokkotis (Egilea), Maria Protopapa (Egilea), Theodoros Stampoulis (Egilea), Anastasia Gkachtsou (Egilea), Dimitris Pantazis (Egilea), Dimitris Balampanos (Egilea), Ilias Smilios (Egilea), Athanasios Chatzinikolaou (Egilea)
• Formatua: Liburua
• Argitaratua: MDPI AG, 2024-10-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Maturation is a key factor in sports participation and often determines the young athletes' characterization as a talent. However, there is no evidence of practical models for understanding the factors that discriminate children according to maturity. Hence, this study aims to deepen the unders...