Comparative analysis shows machine learning predicts concussion recovery time better than logistic regression, highlighting the role of psychological and symptomatic factors.
Objectives The objectives were threefold: 1) To utilize machine learning (ML) to create a model for predicting concussion recovery time using routine clinical metrics, 2) To compare predictive factors within a ML model to previously identified risk factors, and 3) To compare predictive ability of ML models to traditional logistic regression.
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Taylor et al. (2025) studied this question.
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