Machine learning-based analysis of risk factors for chronic total occlusion in an Asian population.

Validation of machine learning prediction models for CTO revealed that the PLS-DA model had the best prediction performance. Sex, neutrophil percentage, creatinine, and BNP may be important risk factors for CTO development.