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Computers in Biology and Medicine|February 22, 2025
Utilizing 12-lead electrocardiogram and machine learning to retrospectively estimate and prospectively predict atrial fibrillation and stroke riskPo-Cheng Chang, Zhi-Yong Liu, Yu-Chang Huang, et al.
Frontiers in Cardiovascular Medicine|March 24, 2023
Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk predictionYu-Chang Huang, Yu-Chun Hsu, Zhi-Yong Liu, et al.
Frontiers in Cardiovascular Medicine|November 15, 2023
Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogramPo-Cheng Chang, Zhi-Yong Liu, Yu-Chang Huang, et al.
Genetic Epidemiology|October 25, 2025
Exploring Random Forest in Genetic Risk Score ConstructionVaishnavi Venkat, Kaylyn Clark, X Jessie Jeng, et al.
Diabetes/Metabolism Research and Reviews|October 27, 2019
Hypoglycaemic episodes increase the risk of ventricular arrhythmia and sudden cardiac arrest in patients with type 2 diabetes-A nationwide cohort studyYu-Cheng Hsieh, Ying-Chieh Liao, Cheng-Hung Li, et al.
Journal of Clinical Rheumatology : Practical Reports on Rheumatic & Musculoskeletal Diseases|August 9, 2021
Comparison of Renal Responses Between Continuous Mycophenolate Mofetil and Conversion from Mycophenolate Mofetil to Enteric-Coated Mycophenolate Sodium in Lupus NephritisYu-Wan Liao, Wei-Ting Hung, Yi-Ming Chen, et al.
The Journal of Clinical Endocrinology and Metabolism|February 25, 2025
SGLT2i and Cardiovascular Events in Patients With Concomitant Atrial Fibrillation and Diabetes: A TriNetX Cohort StudyYu-Yu Hsiao, Yun-Yu Chen, Ming-Jen Kuo, et al.
Translational Vision Science & Technology|December 9, 2025
Association Between Iron Overload and the Risk of Ocular Hypertension, Primary Open-Angle Glaucoma, and Normal-Tension GlaucomaChien-Yun Tsai, Ching-Yao Tsai, Chien-Hsiang Weng, et al.
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