FUZZY EXPERT SYSTEM UNTUK MEMBANTU DIAGNOSIS AWAL SINDROMA METABOLIK

Supardianto Supadianto, Sri Kusumadewi, Linda Rosita
{"title":"FUZZY EXPERT SYSTEM UNTUK MEMBANTU DIAGNOSIS AWAL SINDROMA METABOLIK","authors":"Supardianto Supadianto, Sri Kusumadewi, Linda Rosita","doi":"10.36595/JIRE.V4I1.313","DOIUrl":null,"url":null,"abstract":"Metabolic syndrome is a condition that occurs in a person simultaneously, such as an increase in blood pressure, high blood sugar levels, excess fat around the waist, and an unusual increase in cholesterol levels. This condition makes the risk for sufferers experiencing heart disease, stroke, and diabetes mellitus very high. Metabolic syndrome is a non-contagious disease. A person who has metabolic syndrome is usually difficult to detect, because experts are needed to analyze it. Fuzzy Expert System (Fuzzy Expert System) is part of artificial intelligence using fuzzy logic. where the system tries to adopt human knowledge to computers so that computers can solve problems as usually done by experts. Where later the results of the system developed in the study can at least help experts (doctors) in providing conclusions on the risk of disease suffered by patients through the analysis of metabolic syndrome. This system will involve experts such as doctors and patients, where the doctor makes a diagnosis of the patient's metabolic syndrome analysis results, and the patient is used to seeing the diagnosis of the risk of the disease being suffered.","PeriodicalId":367275,"journal":{"name":"Jurnal Informatika dan Rekayasa Elektronik","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Informatika dan Rekayasa Elektronik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36595/JIRE.V4I1.313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Metabolic syndrome is a condition that occurs in a person simultaneously, such as an increase in blood pressure, high blood sugar levels, excess fat around the waist, and an unusual increase in cholesterol levels. This condition makes the risk for sufferers experiencing heart disease, stroke, and diabetes mellitus very high. Metabolic syndrome is a non-contagious disease. A person who has metabolic syndrome is usually difficult to detect, because experts are needed to analyze it. Fuzzy Expert System (Fuzzy Expert System) is part of artificial intelligence using fuzzy logic. where the system tries to adopt human knowledge to computers so that computers can solve problems as usually done by experts. Where later the results of the system developed in the study can at least help experts (doctors) in providing conclusions on the risk of disease suffered by patients through the analysis of metabolic syndrome. This system will involve experts such as doctors and patients, where the doctor makes a diagnosis of the patient's metabolic syndrome analysis results, and the patient is used to seeing the diagnosis of the risk of the disease being suffered.
代谢综合征是一种同时发生在一个人身上的疾病,如血压升高、高血糖水平、腰部脂肪过多和胆固醇水平异常升高。这种情况使得患心脏病、中风和糖尿病的风险非常高。代谢综合征是一种非传染性疾病。患有代谢综合征的人通常很难被发现,因为需要专家来分析。模糊专家系统(Fuzzy Expert System)是利用模糊逻辑的人工智能的一部分。系统试图将人类的知识应用到计算机中,这样计算机就可以解决通常由专家解决的问题。在此之后,研究中开发的系统的结果至少可以帮助专家(医生)通过分析代谢综合征提供关于患者患病风险的结论。该系统将由医生和患者等专家参与,医生根据患者的代谢综合征分析结果进行诊断,患者习惯于看到诊断出的患病风险。
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