{"title":"慢性肾脏疾病数据分析","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":"{\"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}","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}
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.
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