Modeling Physiological Predictors of Running Velocity for Endurance Athletes.

ABSTRACT: Background: Properly performed training is a matter of importance for endurance athletes (EA). It allows for achieving better results and safer participation. Recently, the development of machine learning methods has been observed in sports diagnostics. Velocity at anaerobic threshold (V_AT), respiratory compensation point (V_RCP), and maximal velocity (V_max) are the variables closely corresponding to endurance performance. The primary aims of this study were to find the strongest predictors of V_AT, V_RCP, V_max, to derive and internally validate prediction models for males (1) and females (2) under TRIPOD guidelines, and to assess their machine learning accuracy. Materials and Methods: A total of 4001 EA (n_ma

SUBMITTER: Wiecha S 

PROVIDER: S-EPMC9696488 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature