Abstract
Introduction: Classic risk prediction models are currently used as auxiliary tools for decision-making thoracic surgery. The application of technologies such as machine learning combined with progressively more robust databases presents the opportunity to develop models with increasing predictive capability. Objectives: This study aims to develop a machine learning model to predict risk o…