Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68509, first published .
Machine Learning Models With Prognostic Implications for Predicting Gastrointestinal Bleeding After Coronary Artery Bypass Grafting and Guiding Personalized Medicine: Multicenter Cohort Study

Machine Learning Models With Prognostic Implications for Predicting Gastrointestinal Bleeding After Coronary Artery Bypass Grafting and Guiding Personalized Medicine: Multicenter Cohort Study

Machine Learning Models With Prognostic Implications for Predicting Gastrointestinal Bleeding After Coronary Artery Bypass Grafting and Guiding Personalized Medicine: Multicenter Cohort Study

Jiale Dong   1, 2, 3 * , MD, PhD ;   Zhechuan Jin   1 * , MD, PhD ;   Chengxiang Li   4 , MS ;   Jian Yang   1, 4 , MD, PhD ;   Yi Jiang   5 , MD, PhD ;   Zeqian Li   4 , MD, PhD ;   Cheng Chen   6 , MD, PhD ;   Bo Zhang   4, 7 , MD, PhD ;   Zhaofei Ye   8 , MD, PhD ;   Yang Hu   3 , MD, PhD ;   Jianguo Ma   9 , PhD ;   Ping Li   8 , MD, PhD ;   Yulin Li   1 * , MD, PhD ;   Dongjin Wang   6 * , MD, PhD ;   Zhili Ji   1, 2, 3, 4 * , MD, PhD

1 Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China

2 Department of Acute Abdomen Surgery, Beijing ChaoYang Hospital, Capital Medical University, Beijing, China

3 Department of General Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

4 Department of Hepatobiliary and Pancreaticosplenic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

5 Department of Cardiovascular Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Nanjing, China

6 Department of Cardiovascular Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Beijing, China

7 Department of General Surgery, Beijing Luhe Hospital, Capital Medical University, Beijing, China

8 Department of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China

9 School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Zhili Ji, MD, PhD
  • Department of General Surgery
  • Beijing Chaoyang Hospital
  • Capital Medical University
  • 8 Gongren Tiyuchang Nanlua, Chaoyang District
  • Beijing 100020
  • China
  • Phone: 86 010-85231610
  • Fax: 86 010-65060167
  • Email: anzhenjzl@mail.ccmu.edu.cn