Exploring Patient-Oriented Healthcare Support System by Using General Bayesian Network

Abstract

For the sake of building an intelligent patient-centered decision support system (PACDSS), we propose a novel approach for preparing causal knowledge from the clinical dataset by using GBN (General Bayesian Network). For this purpose, we used clinical datasets from the stem-cell therapy, and applied GBN mechanism to induce causal knowledge and implement an inference engine as a result. What-if analysis results were convincing enough to conclude that our proposed approach can secure design of an intelligent PACDSS embedded in causal knowledge.