Classification of "Athlete's Heart" using machine learning of conventional 12-lead ECG: male elite 3,000-m runner data in the CHIEF study.

Fan CH, Chen CF, Huang WC, Kwon Y, Sui X, Lavie CJ, Lin GM

Open source

DOI
10.3389/fspor.2026.1847495
Published
2026
Container
Frontiers in sports and active living
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fspor.2026.1847495,
  title = {Classification of "Athlete's Heart" using machine learning of conventional 12-lead ECG: male elite 3,000-m runner data in the CHIEF study.},
  author = {Fan CH and Chen CF and Huang WC and Kwon Y and Sui X and Lavie CJ and Lin GM},
  year = {2026},
  journal = {Frontiers in sports and active living},
  doi = {10.3389/fspor.2026.1847495},
  url = {https://doi.org/10.3389/fspor.2026.1847495}
}

RIS

TY  - JOUR
TI  - Classification of "Athlete's Heart" using machine learning of conventional 12-lead ECG: male elite 3,000-m runner data in the CHIEF study.
AU  - Fan CH
AU  - Chen CF
AU  - Huang WC
AU  - Kwon Y
AU  - Sui X
AU  - Lavie CJ
AU  - Lin GM
PY  - 2026
JO  - Frontiers in sports and active living
DO  - 10.3389/fspor.2026.1847495
UR  - https://doi.org/10.3389/fspor.2026.1847495
ER  - 

APA

CH, F., CF, C., WC, H., Y, K., X, S., CJ, L., & GM, L. (2026). Classification of "Athlete's Heart" using machine learning of conventional 12-lead ECG: male elite 3,000-m runner data in the CHIEF study.. Frontiers in sports and active living. https://doi.org/10.3389/fspor.2026.1847495

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