From marginal gains to clinical utility: machine learning-based percutaneous coronary intervention risk prediction models.

{"title":"From marginal gains to clinical utility: machine learning-based percutaneous coronary intervention risk prediction models.","authors":"Muhammad Ibtsaam Qadir, Ravi S Hira, Fiona R Kolbinger","doi":"10.1093/ehjdh/ztaf001","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":72965,"journal":{"name":"European heart journal. Digital health","volume":"6 2","pages":"159-161"},"PeriodicalIF":3.9000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11914716/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European heart journal. Digital health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/ehjdh/ztaf001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}