PLOS
open access
CC BY 4.0
A machine learning model for predicting ischemic and bleeding risk after percutaneous coronary intervention: Development and external validation
Objective: This study aimed to develop and externally validate a machine learning-based risk prediction model of ischemia and bleeding events in patients receiving percutaneous coronary intervention (PCI) and dual antiplatelet therapy (DAPT) and, to evaluate its clinical potential and economic impli
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