Machine learning-based predictive models for perioperative major adverse cardiovascular events in patients with stable coronary artery disease undergoing noncardiac surgery.

Autor: Shen L; Department of Information Technology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China., Jin Y; Department of Cardiovascular Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China., Pan A; Department of Information Technology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China., Wang K; Department of Cardiovascular Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China., Ye R; Department of Cardiovascular Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China., Lin Y; Department of Cardiovascular Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China., Anwar S; Department of Cardiovascular Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China., Xia W; Department of Cardiovascular Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China., Zhou M; Department of Information Technology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China. Electronic address: minzhou@zju.edu.cn., Guo X; Department of Cardiovascular Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China. Electronic address: gxg22222@zju.edu.cn.

Publikováno v: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Dec 13; Vol. 260, pp. 108561. Date of Electronic Publication: 2024 Dec 13.