An unsupervised clustering framework on athlete biomarkers identifies coherent profiles distinguishing mechanical damage from metabolic stress while preserving homeostatic states.
Hematology, hormones, inflammation, and muscle damage in elite and professional soccer players: a systematic review with implications for exercise,
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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.