{"title":"Emerging applications of data mining for healthcare management - A critical review","authors":"A. Sharma, V. Mansotra","doi":"10.1109/INDIACOM.2014.6828163","DOIUrl":null,"url":null,"abstract":"In this paper, we present a critical review of the various research currently being undergoing in applications of data mining for healthcare management. The objective of this study is to explore new and emerging areas of data mining techniques used in healthcare management. The applications included in this paper are infection control surveillance, diagnosis and treatment of various diseases, healthcare resource management, customer relationship management, fraud and anomaly detection, healthcare administration, hospital management and public health. The data mining goals achieved, functions performed and algorithms used in these applications have been analyzed in this paper.","PeriodicalId":404873,"journal":{"name":"2014 International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Computing for Sustainable Global Development (INDIACom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIACOM.2014.6828163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
Abstract
In this paper, we present a critical review of the various research currently being undergoing in applications of data mining for healthcare management. The objective of this study is to explore new and emerging areas of data mining techniques used in healthcare management. The applications included in this paper are infection control surveillance, diagnosis and treatment of various diseases, healthcare resource management, customer relationship management, fraud and anomaly detection, healthcare administration, hospital management and public health. The data mining goals achieved, functions performed and algorithms used in these applications have been analyzed in this paper.