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dc.contributor.authorSadaria, Priti-
dc.date.accessioned2025-01-01T13:04:45Z-
dc.date.available2025-01-01T13:04:45Z-
dc.date.issued2020-
dc.identifier.issn2250-1991-
dc.identifier.urihttp://10.9.150.37:8080/dspace//handle/atmiyauni/2237-
dc.description.abstractNow a day no field remain untouched with Information Technology. Health care industries are using Information Technology for different purpose. Health data growing quickly because of fast acceptance of Information Technology. Extraction of useful information by analyzing this rapidly growing data for building a useful model which can be applicable in real life is really a challenging task.Knowledge discovery and decision making from such voluminous data is a new trend that is Big Data Computing. Machine learning techniques can be used to make predictive analytics.Cloud computing provides computing services over the internet which includes servers, storage, databases, software and analytics for big data processing. Now a day, analysis of diabetic Big Data is facing lots of problems because of unpredictable growth of data which leads to a big challenge in processing the large and complex datasets manually.en_US
dc.language.isoenen_US
dc.publisherPeripex - Indian Journal Of Researchen_US
dc.titleAn Analytical Survey of Usage of Big Data and Hadoop for Prediction of Diseasesen_US
dc.typeArticleen_US
Appears in Collections:01. Journal Articles

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