Attempt to Extract Clinical Questions from a Clinical Registry Using Bayesian Networks

Abstract

This paper describes an attempt to extract clinical questions from a clinical registry database using Bayesian Networks. We generated Bayesian network models using clinical registry data from J-DREAMS, and showed that it is possible to generate clinical questions from the node pairs by extracting combinations of nodes with large amounts of mutual information for a specific node through sensitivity analysis.