Prediction of 3-year all-cause and cardiovascular cause mortality in a prospective percutaneous coronary intervention registry: Machine learning model outperforms conventional clinical risk scores
Paul‐Adrian Călburean, Paul Grebenișan, Ioana-Andreea Nistor, Krisztina Pál, Victor Vacariu, Reka-Katalin Drincal, Oana Țepes, Iulia Bârlea, Ioana Şuş, Cristina Somkereki, Valentin Șimon, Zoltán Demjén, István Adorján, Irina Pinitilie, Anca Teodora Dolcoş, Tiberiu Oltean, Marius Mărușteri, Elena Druică, László Hadadi
Topics & Concepts
MedicineTIMIPercutaneous coronary interventionConventional PCIInternal medicinePopulationCardiologyFramingham Risk ScoreMyocardial infarctionDiseaseEnvironmental healthArtificial Intelligence in Healthcare and EducationAcute Myocardial Infarction ResearchMachine Learning in Healthcare