{"title":"增强的基于云的医疗保健大数据分析环境","authors":"S. Senthil Kumar, S. Mythili","doi":"10.51983/ajsat-2018.7.1.1021","DOIUrl":null,"url":null,"abstract":"Today, one of the promises of the growing critical mass of clinical data collection in electronic health record (EHR) systems is secondary use (or re-use) of the data for other purposes, such as quality enhancement and clinical research. The growth of such data is increasing dramatically in recent years. The analysis of the above data is usually called analytics (or data analytics).","PeriodicalId":414891,"journal":{"name":"Asian Journal of Science and Applied Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Enhanced Cloud Based Environment for Big Data Analytics in Health Care\",\"authors\":\"S. Senthil Kumar, S. Mythili\",\"doi\":\"10.51983/ajsat-2018.7.1.1021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, one of the promises of the growing critical mass of clinical data collection in electronic health record (EHR) systems is secondary use (or re-use) of the data for other purposes, such as quality enhancement and clinical research. The growth of such data is increasing dramatically in recent years. The analysis of the above data is usually called analytics (or data analytics).\",\"PeriodicalId\":414891,\"journal\":{\"name\":\"Asian Journal of Science and Applied Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Science and Applied Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51983/ajsat-2018.7.1.1021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Science and Applied Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51983/ajsat-2018.7.1.1021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Enhanced Cloud Based Environment for Big Data Analytics in Health Care
Today, one of the promises of the growing critical mass of clinical data collection in electronic health record (EHR) systems is secondary use (or re-use) of the data for other purposes, such as quality enhancement and clinical research. The growth of such data is increasing dramatically in recent years. The analysis of the above data is usually called analytics (or data analytics).
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