Utilizing 12-lead electrocardiogram and machine learning to retrospectively estimate and prospectively predict atrial fibrillation and stroke risk

Bibliographic Details
Title:	Utilizing 12-lead electrocardiogram and machine learning to retrospectively estimate and prospectively predict atrial fibrillation and stroke risk
Authors:	Chang, Po-Cheng ^a, Liu, Zhi-Yong ^b, Huang, Yu-Chang ^a, Chen, Jung-Sheng ^b, Chou, Chung-Chuan ^a, Wo, Hung-Ta ^a, Lee, Wen-Chen ^a, Liu, Hao-Tien ^a, Wang, Chun-Chieh ^a, Lin, Ching-Heng ^b, Tung, Pei-Hsuan ^b, Kuo, Chang-Fu ^{b, c}, Wen, Ming-Shien ^{a, ⁎}
Source:	In Computers in Biology and Medicine April 2025 188
Database:	ScienceDirect

More Details
ISSN:	00104825
DOI:	10.1016/j.compbiomed.2025.109871
Published in:	Computers in Biology and Medicine
Language:	English