Predicting daily recovery during long-term endurance training using machine learning analysis.
Jeffrey A RothschildTom StewartAndrew E KildingDaniel J PlewsPublished 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.