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Big data in ehealthcare : challenges and perspectives / Nandini Mukherjee, Sarmistha Neogy, Samiran Chattopadhyay.

By: Mukherjee, Nandini [author.].
Contributor(s): Neogy, Sarmistha [author.] | Chattopadhyay, Samiran [author.].
Material type: materialTypeLabelBookPublisher: Boca Raton, FL : CRC Press, 2019Copyright date: ©2019Description: 1 online resource (xx, 235 pages) : illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9781351057783; 1351057782; 9781351057790; 1351057790; 9781351057776; 1351057774; 9781351057769; 1351057766.Subject(s): Medical informatics -- Data processing | Medical care | Electronic commerce | HEALTH & FITNESS / Holism | HEALTH & FITNESS / Reference | MEDICAL / Alternative Medicine | MEDICAL / Atlases | MEDICAL / Essays | MEDICAL / Family & General Practice | MEDICAL / Holistic Medicine | MEDICAL / Osteopathy | COMPUTERS / Database Management / General | COMPUTERS / Database Management / Data Mining | MEDICAL / Hospital Administration & CareDDC classification: 610.285 Online resources: Taylor & Francis | OCLC metadata license agreement
Contents:
Introduction -- Electronic health records -- Big data: from hype to action -- Acquisition of big health data -- Health data analytics -- Architecture and computational models for big data processing -- Big data storage -- Security and privacy for health issues.
Summary: This book focuses on the different aspects of handling big data in healthcare. It showcases the current state-of-the-art technology used for storing health records and health data models. It also focuses on the research challenges in big data acquisition, storage, management and analysis.
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This book focuses on the different aspects of handling big data in healthcare. It showcases the current state-of-the-art technology used for storing health records and health data models. It also focuses on the research challenges in big data acquisition, storage, management and analysis.

Introduction -- Electronic health records -- Big data: from hype to action -- Acquisition of big health data -- Health data analytics -- Architecture and computational models for big data processing -- Big data storage -- Security and privacy for health issues.

OCLC-licensed vendor bibliographic record.

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