This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1917) Machine Learning (2077) Coronary Heart Disease (109) Artificial Intelligence (2135) Perioperative Risk Assessment (29) Artificial Intelligence in Surgery and Perioperative Medicine (43)

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

Authors of this article:

Jiale Dong1, 2, 3 Author Orcid Image ;   Zhechuan Jin1 Author Orcid Image ;   Chengxiang Li4 Author Orcid Image ;   Jian Yang1, 4 Author Orcid Image ;   Yi Jiang5 Author Orcid Image ;   Zeqian Li4 Author Orcid Image ;   Cheng Chen6 Author Orcid Image ;   Bo Zhang4, 7 Author Orcid Image ;   Zhaofei Ye8 Author Orcid Image ;   Yang Hu3 Author Orcid Image ;   Jianguo Ma9 Author Orcid Image ;   Ping Li8 Author Orcid Image ;   Yulin Li1 Author Orcid Image ;   Dongjin Wang6 Author Orcid Image ;   Zhili Ji1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Li H, Hu H, Li J, Gu C, Li B. The impact of clopidogrel combined with aspirin or aspirin alone on prognosis and adverse events in patients undergoing coronary artery bypass grafting in the first month after surgery. Frontiers in Cardiovascular Medicine 2025;12 View
  2. Li W, Zhu J, Wang Y, Li J, Li Z, Wang C, Xue J, Zhou P, He Q. Prediction of malignancy risk in Bethesda III nodules: development and validation of multiple machine learning models. Frontiers in Endocrinology 2025;16 View
  3. Raja S. The future of coronary artery bypass grafting: innovation, individualization, and integration. Exploration of Medicine 2025;6 View