Istiadi, Emma Budi Sulistiarini, Rudy Joegijantoro, Affi Nizar Suksmawati, Kuncahyo Setyo Nugroho, Ismail Akbar
{"title":"Expert System Integrated with Medical Record for Infectious Diseases using Certainty Factor","authors":"Istiadi, Emma Budi Sulistiarini, Rudy Joegijantoro, Affi Nizar Suksmawati, Kuncahyo Setyo Nugroho, Ismail Akbar","doi":"10.1109/CyberneticsCom55287.2022.9865639","DOIUrl":null,"url":null,"abstract":"Humans with weak immune systems are very susceptible to infectious diseases. Infectious diseases can cause the risk of premature death if not handled properly. This research integrates an expert system with a health care system to diagnose and treat infectious diseases. The integration system aims to optimize the database of medical records of patients. The result of the integration system is that physicians can use the medical record data in the health care system as initial instructions for examinations, and expert systems can use the medical record data to acquire new knowledge. Tests on the expert system were carried out using the Certainty Factor (CF) method on 35 medical record data. The test results obtained an accuracy value of 80%, which indicates that the expert system can diagnose the disease quite well.","PeriodicalId":178279,"journal":{"name":"2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CyberneticsCom55287.2022.9865639","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Humans with weak immune systems are very susceptible to infectious diseases. Infectious diseases can cause the risk of premature death if not handled properly. This research integrates an expert system with a health care system to diagnose and treat infectious diseases. The integration system aims to optimize the database of medical records of patients. The result of the integration system is that physicians can use the medical record data in the health care system as initial instructions for examinations, and expert systems can use the medical record data to acquire new knowledge. Tests on the expert system were carried out using the Certainty Factor (CF) method on 35 medical record data. The test results obtained an accuracy value of 80%, which indicates that the expert system can diagnose the disease quite well.
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