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From injury to comeback: A systematic review of machine learning models predicting return to sport in athletes
0
Zitationen
7
Autoren
2026
Jahr
Abstract
Machine learning techniques demonstrate promising potential for predicting RTS in athletes. Nevertheless, substantial heterogeneity across studies-particularly in RTS definitions, feature selection, and model development which limits the generalizability and clinical applicability of current models.
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