Precision exercise medicine: predicting unfavourable status and development in the 20-m shuttle run test performance in adolescence with machine learning.

Laura JoensuuIlkka RautiainenSami ÄyrämöHeidi J SyväojaJukka-Pekka KauppiUrho M KujalaTuija H Tammelin

Published in: BMJ open sport & exercise medicine (2021)

RF classifier predicted future unfavourable status in 20MSRT and identified potential individuals for interventions based on a holistic profile (14‒20 baseline characteristics). The MATLAB script and functions employing the RF classifier of this study are available for future precision exercise medicine research.

Keyphrases

machine learning
physical activity
high intensity
current status
resistance training
depressive symptoms
artificial intelligence
risk assessment
big data
deep learning
climate change
neural network