Physiological States
Cross-source consensus on Physiological States from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Benefits
Comparisons
Highlighted claims
- The k = 5 solution distinguished mechanical damage from metabolic stress, which binary risk classification would collapse. — An unsupervised decision-support framework for multivariate biomarker analysis in athlete monitoring
- Mechanical Damage was characterized by elevated CK and LDH, consistent with peripheral tissue breakdown and mechanical stress. — An unsupervised decision-support framework for multivariate biomarker analysis in athlete monitoring
- Metabolic Stress was characterized by elevated cortisol with normal CK, indicating neuroendocrine axis saturation rather than localized tissue damage. — An unsupervised decision-support framework for multivariate biomarker analysis in athlete monitoring
- The Anabolic Power cluster represented a favorable recovery or adaptation state rather than a stress-dominant phenotype. — An unsupervised decision-support framework for multivariate biomarker analysis in athlete monitoring
- The Homeostasis Maintenance cluster was interpreted as biologically important because a healthy squad should mostly be near homeostasis. — An unsupervised decision-support framework for multivariate biomarker analysis in athlete monitoring