Interpretable instance disease prediction based on causal feature selection and effect analysis.
Journal:
BMC medical informatics and decision making
Published Date:
Feb 26, 2022
Abstract
BACKGROUND: In the big wave of artificial intelligence sweeping the world, machine learning has made great achievements in healthcare in the past few years, however, these methods are only based on correlation, not causation. The particularities of the healthcare determines that the research method must comply with the causality norm, otherwise the wrong intervention measures may bring the patients a lifetime of misfortune.