Risk Prediction Score for 30-Day Mortality After Adult Cardiac Surgery Based on Machine Learning Algorithms
*For Medical Professionals Only Published in: European Association for Cardio-Thoracic Surgery Impact Factor: IF=3.1 Publication Date: 2024.10.13 Innovations: This study investigates the performance of an in-hospital/30-day mortality risk prediction model using alternative machine learning algorithms (XGBoost) in adults undergoing cardiac surgery. Background: Predictive models are used in international guidelines to determine the most appropriate treatment … Read more