Construction of a predictive model for the efficacy of enhanced external counterpulsation therapy in patients with heart failure with preserved ejection fraction based on automated machine learning and echocardiography
- DOI
- 10.3389/fcvm.2026.1876579
- Published
- 2026-09-09
- Container
- Frontiers in Cardiovascular Medicine
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fcvm.2026.1876579,
title = {Construction of a predictive model for the efficacy of enhanced external counterpulsation therapy in patients with heart failure with preserved ejection fraction based on automated machine learning and echocardiography},
author = {Xuan Zhang and Fuqiang Zeng and Jing Liu and Min Zeng and Li Zhou and Xin Wang},
year = {2026},
journal = {Frontiers in Cardiovascular Medicine},
doi = {10.3389/fcvm.2026.1876579},
url = {https://doi.org/10.3389/fcvm.2026.1876579}
}RIS
TY - JOUR TI - Construction of a predictive model for the efficacy of enhanced external counterpulsation therapy in patients with heart failure with preserved ejection fraction based on automated machine learning and echocardiography AU - Xuan Zhang AU - Fuqiang Zeng AU - Jing Liu AU - Min Zeng AU - Li Zhou AU - Xin Wang PY - 2026 JO - Frontiers in Cardiovascular Medicine DO - 10.3389/fcvm.2026.1876579 UR - https://doi.org/10.3389/fcvm.2026.1876579 ER -
APA
Zhang, X., Zeng, F., Liu, J., Zeng, M., Zhou, L., & Wang, X. (2026). Construction of a predictive model for the efficacy of enhanced external counterpulsation therapy in patients with heart failure with preserved ejection fraction based on automated machine learning and echocardiography. Frontiers in Cardiovascular Medicine. https://doi.org/10.3389/fcvm.2026.1876579
Source records
- crossref · retrieved 2026-09-25T01:21:42.706Z