Ontology-based Cohort DB Search Simulation

Abstract

Many researchers have used cohort DB (database) to predict the occurrence of disease or to keep track of disease spread. Cohort DB is Big Data which has simply stored disease and health information as separated DB table sets. To measure the relations between health information, It is necessary to reconstruct cohort DB which follows research purpose. In this paper, XML descriptor, editor has been used to construct ontology-based Big Data cohort DB. Also, we have developed ontology based cohort DB search system to check results of relations between health information. XML editor has used 7 layered Ontology development 101 and OWL API to change cohort DB into ontology-based. Ontology-based cohort DB system can measure the relation of disease and health information and can be used effectively when semantic relations are found. We have developed ontology-based cohort DB search system which can measure the relations between disease and health information. And it is very effective when searched results are semantic relations. 를 이용하면 데이터간의 의미적 관

Healthcare Platform and Big Data Analysis Based Personal Fitness Healthcare Service Model

“…All these services need big data analytics for personal health care. The following are the 7 phases of ontology development methodology and the resolution measure for each phase [9]: 1) Determine the domain and purpose of ontology. The system domain is to set to the entire cohort DB while the purpose of an ontology-based cohort DB is to measure the connections between diseases and health information.…”