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A Comprehensive Study of Data Mining Techniques in Health-care, Medical, and Bioinformatics

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dc.contributor.author Mia, Md. Robel
dc.contributor.author Hossain, Syed Akhter
dc.contributor.author Chhoton, Amit Chakraborty
dc.contributor.author Chakraborty, Narayan Ranjan
dc.date.accessioned 2019-05-11T06:15:29Z
dc.date.accessioned 2019-05-27T09:59:34Z
dc.date.available 2019-05-11T06:15:29Z
dc.date.available 2019-05-27T09:59:34Z
dc.date.issued 2018-09-20
dc.identifier.isbn 978-1-5386-4776-9
dc.identifier.uri http://hdl.handle.net/20.500.11948/3547
dc.description.abstract Data mining and Data warehousing is an imperative part of explore and is realistically worn in diverse domains resembling funding, quantifiable research, teaching, retail, e-business, marketing, health care etc. Many researchers have been systematically been reviewed and surveyed in health care, which is an active interdisciplinary area that is extent of data mining. The task of comprehension removal in the health care records is a demanding undertaking and intricate too. This review paper mainly focused on to find the existing data mining methods and techniques described in different academic literature based on health care data. Several data mining tools have been applied to set of selected diseases to find the accuracy of each particular tool. It is complicated to select one data mining tool for all kind of diseases analysis exhibition. Health care professionals can gain a solid understating from this study while selecting data mining tools to analyze their data. en_US
dc.language.iso en_US en_US
dc.publisher IEEE en_US
dc.subject Data mining en_US
dc.subject Diseases en_US
dc.subject Medical diagnostic imaging en_US
dc.subject Decision trees en_US
dc.subject Tools en_US
dc.title A Comprehensive Study of Data Mining Techniques in Health-care, Medical, and Bioinformatics en_US
dc.type Other en_US


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