Machine Learning Adds Little to MI Prognostication AI & Surroundings

Machine learning (ML) algorithms developed to predict in-hospital mortality after acute MI offered more meaningful gains in model calibration than in accuracy, researchers found. Parsing through data on 29 variables from the American College of Cardiology (ACC) Chest Pain-MI Registry, extreme gradient descent boosting (XGBoost) and meta-classifier models offered no substantive improvement in discrimination compared […]