An unsupervised clustering framework on athlete biomarkers identifies coherent profiles distinguishing mechanical damage from metabolic stress while preserving homeostatic states.
Unsupervised clustering of biochemical markers reveals health profiles associ- ated with function and survival in active aging
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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.