Prediction of clinical outcomes after percutaneous coronary intervention: Machine-learning analysis of the National Inpatient Sample
(2023)
Journal Article
Galimzhanov, A., Matetic, A., Tenekecioglu, E., & Mamas, M. A. (2023). Prediction of clinical outcomes after percutaneous coronary intervention: Machine-learning analysis of the National Inpatient Sample. International Journal of Cardiology, 392, Article 131339. https://doi.org/10.1016/j.ijcard.2023.131339
Background This study aimed to develop a multiclass machine-learning (ML) model to predict all-cause mortality, ischemic and hemorrhagic events in unselected hospitalized patients undergoing percutaneous coronary intervention (PCI). Methods This... Read More about Prediction of clinical outcomes after percutaneous coronary intervention: Machine-learning analysis of the National Inpatient Sample.