Prediction of Heart Diseases Using Data Mining Algorithms

Q3 Computer Science
Karrar Al-Jammali
{"title":"Prediction of Heart Diseases Using Data Mining Algorithms","authors":"Karrar Al-Jammali","doi":"10.31449/inf.v47i5.4467","DOIUrl":null,"url":null,"abstract":"Data mining has been successfully used in numerous businesses and sectors as a result of its success in great visible areas like e-commerce and marketing. Healthcare is one of the recently identified industries. The healthcare sector continues to be \"information-rich.\" Healthcare systems have access to a multitude of datasets and can use them to find hidden links and trends in data. There aren't enough efficient analysis tools, though. The dataset is analyzed using various machine learning algorithms, i","PeriodicalId":35802,"journal":{"name":"Informatica (Slovenia)","volume":"76 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatica (Slovenia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31449/inf.v47i5.4467","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0

Abstract

Data mining has been successfully used in numerous businesses and sectors as a result of its success in great visible areas like e-commerce and marketing. Healthcare is one of the recently identified industries. The healthcare sector continues to be "information-rich." Healthcare systems have access to a multitude of datasets and can use them to find hidden links and trends in data. There aren't enough efficient analysis tools, though. The dataset is analyzed using various machine learning algorithms, i
使用数据挖掘算法预测心脏病
由于数据挖掘在电子商务和市场营销等可见领域的成功,它已经成功地应用于许多企业和部门。医疗保健是最近确定的行业之一。医疗保健行业继续“信息丰富”。医疗保健系统可以访问大量数据集,并可以使用它们来查找数据中的隐藏链接和趋势。然而,没有足够的高效分析工具。使用各种机器学习算法对数据集进行分析
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
Informatica (Slovenia)
Informatica (Slovenia) Computer Science-Computer Science Applications
CiteScore
1.90
自引率
0.00%
发文量
79
期刊介绍: Informatica is an international refereed journal with its base in Europe. It has entered its 33th year of publication. It publishes papers addressing all issues of interests to computer professionals: from scientific and technical to educational, commercial and industrial. It also publishes critical examinations of existing publications, news about major practical achievements and innovations in the computer and information industry, as well as conference announcements and reports.
×
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:604180095
Book学术官方微信