Ontology based syndrome diagnostic system: (OBSDS)

Haya Majid Qureshi, Maliha Qureshi

2018 International Conference on Advancements in Computational Sciences (ICACS)(2018)

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摘要
Disease Diagnosis is a process of assessment of all possible grounds for a set of symptoms to identify the disease in order to recommend treatment carried out by the physician all over the world. But, one of the major problems faced by medical experts in this process is in possessing a diverse amount of knowledge for better disease diagnosis. In the Past few years the use of Ontologies in Medical domain is basically focused on the representation of the Medical terminologies. Furthermore small number of Ontologies can be found in the domain of Syndrome. A syndrome can refer to the group of symptoms that suggest the presence of syndrome disease. There exist dependencies among causes and symptoms of syndrome diseases. We have proposed a Syndrome ontology model for disease diagnosis. We have done model formalization in Web Ontology language (OWL) and have handled reasoning upon ontology using SPARQL Query. Then apply evaluation matrices on these queries to evaluate the performance of our system. Ontology is developed in Protégé and use SPARQL interface which support various output formats. We use Apache Tomcat 7.0 since it is an online System. This system offer support for better medical decision in Syndrome Diagnosing.
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关键词
sparql,semantic,ontology,owl,syndrome
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