Machine Learning-Based Prediction of Long-Term Outcomes in Patients With Chronic Total Occlusion of the Coronary Artery.

ABSTRACT:

Background and objectives

Precise prediction of long-term outcomes in patients with chronic total occlusion (CTO) of the coronary artery is crucial for cardiovascular care. The recent development of advanced machine learning (ML) models has opened up new possibilities in medical prognostics. This study aimed to develop ML models and validate their performance in predicting long-term clinical outcomes in patients with CTO.

Methods

This study retrospectively analyzed 3,248 patients listed in the Asan Medical Center CTO Registry (2003-2018). Patients underwent coronary artery bypass grafting, percutaneous coronary intervention, or optimal medical therapy and were followed up for a median period of 5.3 years. The study population was randomly split into training (n=2,598) and te

SUBMITTER: Kim TO 

PROVIDER: S-EPMC12614429 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature