Predicting self‐reported injury status among runners training for the New York City Marathon

ML using survey and running activity data had low discriminatory power in predicting weekly running injury among runners not already modifying their training, though results highlight the importance of the prior week's injury status. Larger samples, more precise injury timing, and additional predictors are likely needed to improve performance and inform future injury prevention strategies.