國立虎尾科技大學 |

Healthcare data analytics and management

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Healthcare data analytics and management/ editors, Nilanjan Dey, Amira S. Ashour, Chintan Bhatt, Simon James Fong.
other author:	Dey, Nilanjan,
Published:	London :Academic Press, : 2019.,
Description:	1 online resource :ill. :
Subject:	Medical informatics. -
Online resource:	https://www.sciencedirect.com/science/book/9780128153680
ISBN:	9780128156360 (electronic bk.)

Healthcare data analytics and management
Healthcare data analytics and management[electronic resource] /editors, Nilanjan Dey, Amira S. Ashour, Chintan Bhatt, Simon James Fong. - London :Academic Press,2019. - 1 online resource :ill. - Advances in ubiquitous sensing applications for healthcare ;volume 2. - Advances in ubiquitous sensing applications for healthcare ;v. 5..

Includes bibliographical references and index.

Internet of Things, Smart Sensors, and Pervasive Systems: Enabling the Connected and Pervasive Health Care Migration of Healthcare Relational Database to NoSQL Cloud Database for Healthcare Analytics and Management Developing a Decision Support System for Big Data Analysis and Cost Allocation in National Health Care Securing Large Datasets Involving Fast performing Key Bunch Matrix Block Cipher Comparative Analysis of Semantic Framework in Healthcare Smart Ambulance System Using Concept of Big Data and Internet of Things Mathematical methods of ECG data analysis Smart Information Technology for Universal Health Care Handling Uncertainty in IoT Design : An Approach of Statistical Machine Learning with Distributed Second order Optimization A reversible and secure Electronic Patient Record (EPR) embedding technique using histogram bin shifting and RC6 encryption Secure and Reversible Data Hiding Scheme for Healthcare System using Magic Rectangle and a new Interpolation Technique.

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.

ISBN: 9780128156360 (electronic bk.)

Nat. Bib. No.: GBB8M2456bnbSubjects--Topical Terms:

583858
Medical informatics.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: R858

Dewey Class. No.: 610.285

Healthcare data analytics and management
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260 $a London : $b Academic Press, $c 2019.
300 $a 1 online resource : $b ill.
490 1 $a Advances in ubiquitous sensing applications for healthcare ; $v volume 2
504 $a Includes bibliographical references and index.
505 0 $a Internet of Things, Smart Sensors, and Pervasive Systems: Enabling the Connected and Pervasive Health Care Migration of Healthcare Relational Database to NoSQL Cloud Database for Healthcare Analytics and Management Developing a Decision Support System for Big Data Analysis and Cost Allocation in National Health Care Securing Large Datasets Involving Fast performing Key Bunch Matrix Block Cipher Comparative Analysis of Semantic Framework in Healthcare Smart Ambulance System Using Concept of Big Data and Internet of Things Mathematical methods of ECG data analysis Smart Information Technology for Universal Health Care Handling Uncertainty in IoT Design : An Approach of Statistical Machine Learning with Distributed Second order Optimization A reversible and secure Electronic Patient Record (EPR) embedding technique using histogram bin shifting and RC6 encryption Secure and Reversible Data Hiding Scheme for Healthcare System using Magic Rectangle and a new Interpolation Technique.
520 $a 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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650 0 $a Database management. $3 557799
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700 1 $a Dey, Nilanjan, $d 1984- $e author. $3 1087003
700 1 $a Ashour, Amira, $d 1975- $3 1091247
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700 1 $a Fong, Simon James, $e editor. $3 1372021
830 0 $a Advances in ubiquitous sensing applications for healthcare ; $v v. 5. $3 1343396
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