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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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.

More books from Elsevier Science

Cover of the book Persistent Organic Pollutants (POPs): Analytical Techniques, Environmental Fate and Biological Effects by
Cover of the book Advances in the Study of Behavior by
Cover of the book Water Extraction of Bioactive Compounds by
Cover of the book Progress and Recent Trends in Microbial Fuel Cells by
Cover of the book SD Card Projects Using the PIC Microcontroller by
Cover of the book Sterol Regulation of Ion Channels by
Cover of the book Ultrasonic Techniques for Fluids Characterization by
Cover of the book Lipids by
Cover of the book Biological Oceanography: An Introduction by
Cover of the book High-Temperature Solid Oxide Fuel Cells for the 21st Century by
Cover of the book Neurobiology of Cytokines, Part B by
Cover of the book Orbital Mechanics for Engineering Students by
Cover of the book Reducing Saturated Fats in Foods by
Cover of the book Advances in Immunology by
Cover of the book Progress in Nucleic Acid Research and Molecular Biology by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy