Development and validation of an interpretable machine learning model for predicting atrial fibrillation risk in middle-aged and older patients with coronary heart disease - Poll - MDSpire

Development and validation of an interpretable machine learning model for predicting atrial fibrillation risk in middle-aged and older patients with coronary heart disease

  • By

  • Feng Chen

  • Qin Fu

  • Ling Li

  • Xiao Zhang

  • Yongqiong Ge

  • Jianfei Chen

  • July 8, 2026

  • 0 min

Share

Original Source(s)

Development and validation of an interpretable machine learning model for predicting atrial fibrillation risk in middle-aged and older patients with coronary heart disease

  • by Feng Chen, Qin Fu, Ling Li, Xiao Zhang, Yongqiong Ge, Jianfei Chen

  • July 8, 2026

Related Content

Global information-seeking behavior of air pollution and cardiovascular disease: insights from google trends analysis

Editorial: New frontiers in heart failure therapy: mechanisms, efficacy, and challenges

Multidimensional cardiac functional phenotyping beyond ejection fraction: a multimodality imaging framework for cardiovascular care