Developing a Machine Learning Model for Predicting 30-Day Major Adverse Cardiac and Cerebrovascular Events in Patients Undergoing Noncardiac Surgery: Retrospective Study

Ju-Seung Kwun   ^{1, 2 *} , MD ;   Houng-Beom Ahn   ^{1, 2 *} , MD ;   Si-Hyuck Kang   ^{1, 2} , MD ;   Sooyoung Yoo   ³ , PhD ;   Seok Kim   ³ , MS ;   Wongeun Song   ^{3, 4} , MS ;   Junho Hyun   ⁵ , MD ;   Ji Seon Oh   ⁶ , MD, PhD ;   Gakyoung Baek   ⁷ , BS ;   Jung-Won Suh   ^{1, 2} , MD, PhD

¹ Cardiovascular Center, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea

² Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea

³ Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea

⁴ Department of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea

⁵ Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

⁶ Department of Information Medicine, Big Data Research Center, Asan Medical Center, Seoul, Republic of Korea

⁷ Big Data Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea

*these authors contributed equally