Machine learning in sports medicine: A new approach in human exercise

(Maschinelles Lernen in der Sportmedizin: Ein neuer Ansatz in der menschlichen Bewegung)

The present study aimed to investigate the possible correlations between the cytokine and adipokine Tumour Necrosis Factor Alpha with parameters of body composition and lipid metabolism in young, high-level athletes after an incremental treadmill test observed in a sample of five individuals, male, high-level running athletes who the difficulty of treating large databases with different individuals, multiple biomarkers, and collection times, in addition to physical parameters and sample characteristics, added to the decrease in new findings induced by the application of statistical tools of univariate analysis, indicate the need to apply exploratory machine learning strategies, generating holistic and integrated analysis of the results. The present study showed a negative correlation between TNF and HDL and a similarity between the same TNF and LDL. These findings do not indicate a cause-and-effect relationship but suggest a possible modulation of the immune system, lipid metabolism, and exercise that requires further investigation.
© Copyright 2023 Journal of Human Sport & Exercise. University of Alicante. Alle Rechte vorbehalten.

Bibliographische Detailangaben
Schlagworte:
Notationen:Naturwissenschaften und Technik Biowissenschaften und Sportmedizin
Tagging:Biomarker maschinelles Lernen
Veröffentlicht in:Journal of Human Sport & Exercise
Sprache:Englisch
Veröffentlicht: 2023
Online-Zugang:https://doi.org/10.14198/jhse.2023.182.19
Jahrgang:18
Heft:2
Seiten:501-508
Dokumentenarten:Artikel
Level:hoch