A Novel Approach to Building Knowledge Base for Chronic Disease Management using Ontology

Abstract

It is convenient to use mobile device to obtain information from integrated applications over Internet. Due to the prosperity and development of networked services in our daily life, most of chronic diseases are suitable to be monitored under the Internet and Healthcare mode. However, the important issue is how to build knowledge base for Healthcare system to respond to different kinds of user queries in order to understand what user wants to search. In this paper, we focus on the hypertension management and monitoring problem of chronic diseases. First, Ontology is adopted to specify hypertension that corresponding domain concepts are organized into formal expressions and knowledge graph, which are different from the general database management since they are more flexible to implement the knowledge searching and reasoning. Second, the Chinese words segmentation method is employed to precisely analyze the searching query, and the information searching method of hypertension Ontology is proposed in order to get more accurate results. Finally, the experimental analysis are demonstrated the effectiveness and feasibility of our method.