Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China

• 作者: Yanjun Ma Jianhao Xiong Yidan Zhu Zongyuan Ge Rong Hua Meng Fu Chenglong Li Bin Wang Li Dong Xin Zhao Jili Chen Ce Rong Chao He Yuzhong Chen Zhaohui Wang Wenbin Wei Wuxiang Xie Yangfeng Wu
• 来源期刊: 科学通报（英文版）
• 年，卷（期）: 2022,（1）
• 所属期刊栏目: Medical Sciences
• 页码范围: 17-20
• 页数: 4页
• 语种: 英文

摘要

Ischemic cardiovascular diseases (ICVD),including ischemic stroke and coronary heart disease,has become the top cause of death in China [1].A 10-year ICVD risk prediction model in Chinese adults has been developed and validated,which involved seven parameters including sex,age,systolic blood pressure,total choles-terol,body mass index,current smoking status,and diabetes [2].Since this model requires information from questionnaire,invasive blood tests,and physical examinations,its practice in primary healthcare settings is limited [2].