Healthcare data analytics and management [electronic resource] / editors, Nilanjan Dey, Amira S. Ashour, Chintan Bhatt, Simon James Fong.
- 其他作者:
- 其他題名:
- Advances in ubiquitous sensing applications for healthcare ;
- 出版: London : Academic Press 2019.
- 叢書名: Advances in ubiquitous sensing applications for healthcare ;volume 2
- 主題: Medical informatics. , Database management. , Data mining--Methods. , Data mining. , Electronic books.
- ISBN: 9780128156360 (electronic bk.) 、 0128156368 (electronic bk.) 、 9780128153680 、 0128153687
- URL:
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- 一般註: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. 111年度臺灣學術電子書暨資料庫聯盟採購
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讀者標籤:
- 系統號: 000299562 | 機讀編目格式
館藏資訊
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
摘要註
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.