Targeted metabolomic profiling and machine learning-based prediction models for persistent atrial fibrillation: a multi-center observational study
- DOI
- 10.7717/peerj.21628
- Published
- 2026-08-06
- Container
- PeerJ
- Publisher
- PeerJ
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.7717/peerj.21628,
title = {Targeted metabolomic profiling and machine learning-based prediction models for persistent atrial fibrillation: a multi-center observational study},
author = {Hao Gao and Yanxiu Chen and Pinliang Liao and Hong Chai and Li Zhong and Yuanting Cui and Huakang Li and Zhihui Zhang},
year = {2026},
journal = {PeerJ},
doi = {10.7717/peerj.21628},
url = {https://doi.org/10.7717/peerj.21628}
}RIS
TY - JOUR TI - Targeted metabolomic profiling and machine learning-based prediction models for persistent atrial fibrillation: a multi-center observational study AU - Hao Gao AU - Yanxiu Chen AU - Pinliang Liao AU - Hong Chai AU - Li Zhong AU - Yuanting Cui AU - Huakang Li AU - Zhihui Zhang PY - 2026 JO - PeerJ DO - 10.7717/peerj.21628 UR - https://doi.org/10.7717/peerj.21628 ER -
APA
Gao, H., Chen, Y., Liao, P., Chai, H., Zhong, L., Cui, Y., Li, H., & Zhang, Z. (2026). Targeted metabolomic profiling and machine learning-based prediction models for persistent atrial fibrillation: a multi-center observational study. PeerJ. https://doi.org/10.7717/peerj.21628
Source records
- crossref · retrieved 2026-09-25T15:17:36.972Z