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An Analytical Survey of Usage of Big Data and Hadoop for Prediction of Diseases

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dc.contributor.author Sadaria, Priti
dc.date.accessioned 2025-01-01T13:04:45Z
dc.date.available 2025-01-01T13:04:45Z
dc.date.issued 2020
dc.identifier.issn 2250-1991
dc.identifier.uri http://10.9.150.37:8080/dspace//handle/atmiyauni/2237
dc.description.abstract Now 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.iso en en_US
dc.publisher Peripex - Indian Journal Of Research en_US
dc.title An Analytical Survey of Usage of Big Data and Hadoop for Prediction of Diseases en_US
dc.type Article en_US


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