Predicting athletic performance in track and field athletes based on wearable physiological and psychological indicators: an interpretable machine learning study.
- DOI
- 10.3389/fphys.2026.1912453
- Published
- 2026
- Container
- Frontiers in physiology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fphys.2026.1912453,
title = {Predicting athletic performance in track and field athletes based on wearable physiological and psychological indicators: an interpretable machine learning study.},
author = {Zhang P},
year = {2026},
journal = {Frontiers in physiology},
doi = {10.3389/fphys.2026.1912453},
url = {https://doi.org/10.3389/fphys.2026.1912453}
}RIS
TY - JOUR TI - Predicting athletic performance in track and field athletes based on wearable physiological and psychological indicators: an interpretable machine learning study. AU - Zhang P PY - 2026 JO - Frontiers in physiology DO - 10.3389/fphys.2026.1912453 UR - https://doi.org/10.3389/fphys.2026.1912453 ER -
APA
P, Z. (2026). Predicting athletic performance in track and field athletes based on wearable physiological and psychological indicators: an interpretable machine learning study.. Frontiers in physiology. https://doi.org/10.3389/fphys.2026.1912453
Source records
- pubmed · retrieved 2026-09-25T13:00:25.440Z
- europe-pmc · retrieved 2026-09-25T13:00:25.452Z
- doaj · retrieved 2026-09-25T13:00:25.455Z