大葉大學圖書館 |

Healthcare data analytics and management[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	610.285
書名/作者:	Healthcare data analytics and management/ editors, Nilanjan Dey, Amira S. Ashour, Chintan Bhatt, Simon James Fong.
其他作者:	Dey, Nilanjan,
出版者:	London : : Academic Press,, 2019.
面頁冊數:	1 online resource : : ill.
標題:	Medical informatics.
標題:	Database management.
標題:	Data mining - Methods.
標題:	Data mining.
ISBN:	9780128156360 (electronic bk.)
ISBN:	0128156368 (electronic bk.)
ISBN:	9780128153680
ISBN:	0128153687
書目註:	Includes bibliographical references and index.
內容註:	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.
摘要、提要註:	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.
電子資源:	https://www.sciencedirect.com/science/book/9780128153680

Healthcare data analytics and management[electronic resource] /
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. 3..

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:

340360
Medical informatics.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: R858

Dewey Class. No.: 610.285

Healthcare data analytics and management[electronic resource] /
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