Big data analytics for intelligent healthcare management [electronic resource] / volume editors, Nilanjan Dey, Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera.
- 其他作者：
- 其他題名：
- Advances in ubiquitous sensing applications for healthcare ;
- 出版： London ;San Diego, CA : Academic Press 2019.
- 叢書名： Advances in ubiquitous sensing applications for healthcare ;volume three
- 主題： Big data. , Data mining. , Medical informatics. , Medical care--Data processing. , Machine learning. , Electronic books.
- 版本：1st ed.
- ISBN： 9780128181478 (electronic bk.) 、 9780128181461
- URL：
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- 一般註：Includes bibliographical references and index. 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： 000299560 | 機讀編目格式
館藏資訊
Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc. Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more
摘要註
Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/ forecasting, big data integration for medical data, algorithms and techniques, etc. Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more.