Healthcare Data Analytics and Management

Nonfiction, Science & Nature, Science, Biological Sciences, Biotechnology, Technology, Engineering, Health & Well Being, Medical
Cover of the book Healthcare Data Analytics and Management by , Elsevier Science
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Author: ISBN: 9780128156360
Publisher: Elsevier Science Publication: November 15, 2018
Imprint: Academic Press Language: English
Author:
ISBN: 9780128156360
Publisher: Elsevier Science
Publication: November 15, 2018
Imprint: Academic Press
Language: English

Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data.

  • Covers data analysis, management and security concepts and tools in the healthcare domain
  • Highlights electronic medical health records and patient information records
  • Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining
  • Includes multidisciplinary contributions in relation to healthcare applications and challenges
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data.

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