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dc.contributor.authorT.Ramesh
dc.contributor.authorV.Santhi
dc.date.accessioned2022-05-23T08:35:53Z-
dc.date.available2022-05-23T08:35:53Z-
dc.date.issued2020
dc.identifier.citationInternational Journal of Intelligent Networks (IJIN)
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1739-
dc.description.abstractHealth care Industries are facing lot of challenges in maintaining patient information across various databases due to storage issues. In order to extract patient information, preprocessing techniques can be applied in the process of data mining across databases. But as the data is growing enormously with rapid speed, data mining techniques are becoming obsolete due to issues such as Storage, Speed. So, cost optimization has become one of the major requirements in health industry as there is huge burden in maintaining large volumes of patient’s information using traditional databases. Here Big Data plays a vital role in storing huge volumes of patient information using storage mechanisms such as HDFS, HBase. Many issues in health care are discussed in this paper such as prediction of diseases, getting patients information across databases as a single view.
dc.format.extent1
dc.language.isoen
dc.publisherElsevier
dc.titleExploring Big data Analytics in Healthcare
dc.typeArticle
Appears in Collections:Computer Science Engineering Department

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