Using the Super Learner algorithm to predict risk of major adverse cardiovascular events after percutaneous coronary intervention in patients with myocardial infarction.

"Disclosures None. Declarations Ethics approval and consent to participateThe study was performed in accordance with the Declaration of Helsinki. The Ethics Committee of the Second Affiliated Hospital of Nanchang University reviewed the retrospective use of anonymous data for scientific purpose and waived the need to obtain informed written consent. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

"Funding This work was supported by the National Natural Science Foundation Project (81960611, 81960620); Sub-project of National Key R&D Plan (2020YFC 2002901); Jiangxi Natural Science Foundation Project (20202 ACBL 206016); College Students' Innovation and Entrepreneurship Project (2022CX053)."