Data Analytics on Chronic Kidney Disease Data

J. Sarada, Neelam Venugopal Muthu Lakshmi
{"title":"Data Analytics on Chronic Kidney Disease Data","authors":"J. Sarada, Neelam Venugopal Muthu Lakshmi","doi":"10.2139/ssrn.3200432","DOIUrl":null,"url":null,"abstract":"Data Analytics plays a vital role in making decisions in various fields since it provides useful information from large database with varying set of fields. This paper presents the procedure to know the occurrence of chronic kidney disease (CKD) at early stage in advance. CKD is a type of kidney disease due to which kidney functionality decreased over a period of months or years. Data analytics is performed on Chronic Kidney Diseases dataset and the outcomes are analysed. R language is used to find the results and these generated rules are useful to predict the symptoms that lead to CKD.","PeriodicalId":8928,"journal":{"name":"Biomaterials eJournal","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomaterials eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3200432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Data Analytics plays a vital role in making decisions in various fields since it provides useful information from large database with varying set of fields. This paper presents the procedure to know the occurrence of chronic kidney disease (CKD) at early stage in advance. CKD is a type of kidney disease due to which kidney functionality decreased over a period of months or years. Data analytics is performed on Chronic Kidney Diseases dataset and the outcomes are analysed. R language is used to find the results and these generated rules are useful to predict the symptoms that lead to CKD.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
慢性肾脏疾病数据分析
数据分析在各个领域的决策中起着至关重要的作用,因为它从具有不同领域集的大型数据库中提供有用的信息。本文介绍了早期了解慢性肾脏疾病(CKD)发生的方法。CKD是一种肾脏疾病,由于肾脏功能在几个月或几年的时间内下降。对慢性肾脏疾病数据集进行数据分析,并对结果进行分析。使用R语言查找结果,这些生成的规则对于预测导致CKD的症状非常有用。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Hemostatic Shape Memory Polymer Foams With Improved Survival in a Lethal Traumatic Hemorrhage Model Cochlear Implant-Based Electric-Acoustic Stimulation Modulates Neural Stem Cell-Derived Neural Regeneration Magnetic Mesoporous Embolic Microspheres in Transcatheter Arterial Chemoembolization for Liver Cancer Examining How Different Carbon Entry Point Affects Recombinant Protein Production from Ethylene Glycol in Bacillus Subtilis Printable Smart 3D Architectures of Regenerated Silk on Poly(3- Hydroxybutyrate-Co-3-Hydroxyvalerate)
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1