Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach.
Journal:
BMC medical informatics and decision making
Published Date:
Jun 5, 2023
Abstract
BACKGROUND: Advanced machine learning models have received wide attention in assisting medical decision making due to the greater accuracy they can achieve. However, their limited interpretability imposes barriers for practitioners to adopt them. Recent advancements in interpretable machine learning tools allow us to look inside the black box of advanced prediction methods to extract interpretable models while maintaining similar prediction accuracy, but few studies have investigated the specific hospital readmission prediction problem with this spirit.
