Risk Prediction of Major Adverse Cardiovascular Events Occurrence Within 6 Months After Coronary Revascularization: Machine Learning Study.

ABSTRACT:

Background

As a major health hazard, the incidence of coronary heart disease has been increasing year by year. Although coronary revascularization, mainly percutaneous coronary intervention, has played an important role in the treatment of coronary heart disease, major adverse cardiovascular events (MACE) such as recurrent or persistent angina pectoris after coronary revascularization remain a very difficult problem in clinical practice.

Objective

Given the high probability of MACE after coronary revascularization, the aim of this study was to develop and validate a predictive model for MACE occurrence within 6 months based on machine learning algorithms.

Methods

A retrospective study was performed including 1004 patients who had undergone coronary revascularization a

SUBMITTER: Wang J 

PROVIDER: S-EPMC9069286 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature