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Predicting daily recovery during long-term endurance training using machine learning analysis.

Jeffrey A RothschildTom StewartAndrew E KildingDaniel J Plews
Published in: European journal of applied physiology (2024)
At the group level, daily recovery measures can be predicted based on commonly measured variables, with a small subset of variables providing most of the predictive power. However, at the individual level, the key variables may vary, and additional data may be needed to improve the prediction accuracy.
Keyphrases
  • physical activity
  • skeletal muscle
  • electronic health record
  • high intensity
  • big data
  • resistance training
  • deep learning