Design and Implementation of an Ontology-Based Psychiatric Disorder Detection System

In this paper, we combine a decision tree algorithm with Protégé, to construct an ontology-based meridian method that serves as an example psychiatric disorder inference and a knowledge-sharing platform. This method may effectively detect a psychiatric disorder by pinpointing an association between the meridian system and modern medicine; it may also help to build a fuller picture of expert knowledge by constructing domain and task ontologies. This system provides the general public an understanding of the issues involved, while allowing experts to participate and be totally aware of satisfying the requirements therein. Moreover, the system will help eliminate information disparity between patients and physicians.