{"title":"CardioOWL: An ontology-driven expert system for diagnosing coronary artery diseases","authors":"Baydaa Al-Hamadani","doi":"10.1109/ICOS.2014.7042642","DOIUrl":null,"url":null,"abstract":"According to World Health Organization, coronary artery diseases are responsible for 17% of the death in the world. Diagnosing the disease in the right time could lower the danger that it may cause. This paper presents an expert system (CardioOWL) that has the ability to diagnose any kind of coronary artery diseases. CardioOWL supplies the expert with the diagnosing strategies that could be used and suggests the drugs and/or other required operations to be taken. CardioOWL depends on ontology knowledge about the patient's symptoms to build the knowledge base and then it utilizes Semantic Web Rule Language (SWRL) to deduce the suitable medicine and the required operation for the patient. The system was tested by some general practitioners using several test cases. The system proves to have very good precession and recall.","PeriodicalId":146332,"journal":{"name":"2014 IEEE Conference on Open Systems (ICOS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Conference on Open Systems (ICOS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOS.2014.7042642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
According to World Health Organization, coronary artery diseases are responsible for 17% of the death in the world. Diagnosing the disease in the right time could lower the danger that it may cause. This paper presents an expert system (CardioOWL) that has the ability to diagnose any kind of coronary artery diseases. CardioOWL supplies the expert with the diagnosing strategies that could be used and suggests the drugs and/or other required operations to be taken. CardioOWL depends on ontology knowledge about the patient's symptoms to build the knowledge base and then it utilizes Semantic Web Rule Language (SWRL) to deduce the suitable medicine and the required operation for the patient. The system was tested by some general practitioners using several test cases. The system proves to have very good precession and recall.
根据世界卫生组织的数据，冠状动脉疾病占全球死亡人数的17%。在正确的时间诊断这种疾病可以降低它可能引起的危险。本文提出了一个能够诊断各种冠状动脉疾病的专家系统(CardioOWL)。CardioOWL为专家提供可用的诊断策略，并建议采取药物和/或其他必要的手术。CardioOWL依靠患者症状的本体知识建立知识库，然后利用语义Web规则语言(Semantic Web Rule Language, SWRL)推断出适合患者的药物和所需的手术。该系统由一些全科医生使用几个测试用例进行了测试。实验证明，该系统具有良好的进动性和召回性。
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