Asma Khan, Azeema Sadia, Sohaib Ahmed, H. Tabassum, M. Khan
{"title":"HEPO:外延医学诊断系统的肝炎本体","authors":"Asma Khan, Azeema Sadia, Sohaib Ahmed, H. Tabassum, M. Khan","doi":"10.1109/C-CODE.2017.7918941","DOIUrl":null,"url":null,"abstract":"The use of the ontologies has been prevalent in many domains especially in medical diagnostic systems. Ontologies exhibit features including knowledge representation, reusability, sharing, and logical reasoning support. Thus ontology-driven medical diagnostic systems can assist physicians in order to determine the most probable diagnosis of the patients. Traditionally, these systems have used deductive or inductive way of reasoning for assisting physicians. Nevertheless, the abductive reasoning has less explored in the literature. Further, numerous ontologies have been developed for diagnoses diseases such as diabetes, cancer, chronic and inflammatory. However, no such ontology was found in the literature that deals with a hepatitis disease. Hence, in this paper, the hepatitis ontology ‘HEPO’ has been developed and validated for designing abductive medical diagnostic systems.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"HEPO: The hepatitis ontology for abductive medical diagnostic systems\",\"authors\":\"Asma Khan, Azeema Sadia, Sohaib Ahmed, H. Tabassum, M. Khan\",\"doi\":\"10.1109/C-CODE.2017.7918941\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of the ontologies has been prevalent in many domains especially in medical diagnostic systems. Ontologies exhibit features including knowledge representation, reusability, sharing, and logical reasoning support. Thus ontology-driven medical diagnostic systems can assist physicians in order to determine the most probable diagnosis of the patients. Traditionally, these systems have used deductive or inductive way of reasoning for assisting physicians. Nevertheless, the abductive reasoning has less explored in the literature. Further, numerous ontologies have been developed for diagnoses diseases such as diabetes, cancer, chronic and inflammatory. However, no such ontology was found in the literature that deals with a hepatitis disease. Hence, in this paper, the hepatitis ontology ‘HEPO’ has been developed and validated for designing abductive medical diagnostic systems.\",\"PeriodicalId\":344222,\"journal\":{\"name\":\"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/C-CODE.2017.7918941\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/C-CODE.2017.7918941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
HEPO: The hepatitis ontology for abductive medical diagnostic systems
The use of the ontologies has been prevalent in many domains especially in medical diagnostic systems. Ontologies exhibit features including knowledge representation, reusability, sharing, and logical reasoning support. Thus ontology-driven medical diagnostic systems can assist physicians in order to determine the most probable diagnosis of the patients. Traditionally, these systems have used deductive or inductive way of reasoning for assisting physicians. Nevertheless, the abductive reasoning has less explored in the literature. Further, numerous ontologies have been developed for diagnoses diseases such as diabetes, cancer, chronic and inflammatory. However, no such ontology was found in the literature that deals with a hepatitis disease. Hence, in this paper, the hepatitis ontology ‘HEPO’ has been developed and validated for designing abductive medical diagnostic systems.