Expert System Integrated with Medical Record for Infectious Diseases using Certainty Factor

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.
基于确定性因子的传染病病案集成专家系统
免疫系统弱的人很容易感染传染病。如果处理不当,传染病会导致过早死亡的风险。本研究将专家系统与医疗保健系统相结合,用于传染病的诊断和治疗。该整合系统旨在优化患者病历数据库。集成系统的结果是,医生可以使用医疗保健系统中的病历数据作为检查的初始指示,专家系统可以使用病历数据获取新知识。采用确定性因子(CF)法对35份病案数据进行了专家系统测试。实验结果表明,该专家系统能较好地诊断该病,准确率达80%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信