Chronic Disease Management using Semantic Web Technologies

Healthcare domain generates huge amount of data every day. To store and retrieve data meaningfully semantic web technologies can be used. Semantic web technologies contain tools for creating ontologies, Semantic web rule language (SWRL) for inferring new knowledge and SPARQL query language for retrieving the semantic data. In the health care domain chronic diseases needs continues attention. Chronic diseases need continues monitoring, diagnosis and treatments. Semantic web technologies use various data like patient's health history, medical guidelines, disease symptoms, medication prescribed and other patient related information to construct a knowledge base by using ontologies. By using inference rules new information is produced like, what type of care should be given, which type of diet should be taken and what medications has to be prescribed. Patients can be remotely monitored as well as patients can take decisions at home. By using knowledge base decision support systems can be constructed. In this paper we will study various application areas of semantic web technologies in the field of chronic diseases.