{"title":"A review and analysis on data mining methods to predict diabetes","authors":"Girdhar Gopal Ladha, R. S. Pippal","doi":"10.1109/CSNT.2017.8418562","DOIUrl":null,"url":null,"abstract":"According to international diabetes federation one in eleven adults have diabetes in 2015 worldwide. Their report also suggest that it may increase by one in ten adults has diabetes by 2040 worldwide. It is dangerous as in maximum chances it is diagnosed in the higher stages. The main aim of this paper is to find the methodologies which can help in early stage diagnosis. This paper provides a detail study and analysis on data mining techniques. A deep analysis has been presented for finding the gaps and also suggested the enhancements in terms of future suggestions. It also provides methodological review along with the impact of diabetes and in the direction of their symptoms identification.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNT.2017.8418562","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
According to international diabetes federation one in eleven adults have diabetes in 2015 worldwide. Their report also suggest that it may increase by one in ten adults has diabetes by 2040 worldwide. It is dangerous as in maximum chances it is diagnosed in the higher stages. The main aim of this paper is to find the methodologies which can help in early stage diagnosis. This paper provides a detail study and analysis on data mining techniques. A deep analysis has been presented for finding the gaps and also suggested the enhancements in terms of future suggestions. It also provides methodological review along with the impact of diabetes and in the direction of their symptoms identification.
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