An unsupervised clustering framework on athlete biomarkers identifies coherent profiles distinguishing mechanical damage from metabolic stress while preserving homeostatic states.
Machine learning methods in sport injury prediction and prevention: A systematic review,
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An unsupervised decision-support framework for multivariate biomarker analysis in athlete monitoring
An unsupervised clustering framework on athlete biomarkers identifies coherent profiles distinguishing mechanical damage from metabolic stress while preserving homeostatic states.