Saved in:
| Other Authors: | , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London San Diego, CA
Academic Press
[2019]
|
| Edition: | First edition. |
| Series: | Advances in ubiquitous sensing applications for healthcare
Volume three |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9780128181478/?ar |
| Summary: | 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. |
| Item Description: | Includes bibliographical references and index. - Online resource; title from title page (Safari, viewed October 21, 2019) |
| Physical Description: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 9780128181478 0128181478 |
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| spelling | Big data analytics for intelligent healthcare management volume editors, Nilanjan Dey, Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera First edition. London San Diego, CA Academic Press [2019] ©2019 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advances in ubiquitous sensing applications for healthcare Volume three Includes bibliographical references and index. - Online resource; title from title page (Safari, viewed October 21, 2019) 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. Big data Data mining Medical informatics Medical care Data processing Machine learning Medicine Data processing Data Mining Medical Informatics Applications Medical Informatics Machine Learning Données volumineuses Exploration de données (Informatique) Médecine ; Informatique Apprentissage automatique Soins médicaux ; Informatique Medicine ; Data processing Medical care ; Data processing Dey, Nilanjan 1984- HerausgeberIn edt Das, Himansu HerausgeberIn edt Naik, Bighnaraj HerausgeberIn edt Behera, Himansu Sekhar HerausgeberIn edt |
| spellingShingle | Big data analytics for intelligent healthcare management Big data Data mining Medical informatics Medical care Data processing Machine learning Medicine Data processing Data Mining Medical Informatics Applications Medical Informatics Machine Learning Données volumineuses Exploration de données (Informatique) Médecine ; Informatique Apprentissage automatique Soins médicaux ; Informatique Medicine ; Data processing Medical care ; Data processing |
| title | Big data analytics for intelligent healthcare management |
| title_auth | Big data analytics for intelligent healthcare management |
| title_exact_search | Big data analytics for intelligent healthcare management |
| title_full | Big data analytics for intelligent healthcare management volume editors, Nilanjan Dey, Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera |
| title_fullStr | Big data analytics for intelligent healthcare management volume editors, Nilanjan Dey, Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera |
| title_full_unstemmed | Big data analytics for intelligent healthcare management volume editors, Nilanjan Dey, Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera |
| title_short | Big data analytics for intelligent healthcare management |
| title_sort | big data analytics for intelligent healthcare management |
| topic | Big data Data mining Medical informatics Medical care Data processing Machine learning Medicine Data processing Data Mining Medical Informatics Applications Medical Informatics Machine Learning Données volumineuses Exploration de données (Informatique) Médecine ; Informatique Apprentissage automatique Soins médicaux ; Informatique Medicine ; Data processing Medical care ; Data processing |
| topic_facet | Big data Data mining Medical informatics Medical care Data processing Machine learning Medicine Data processing Data Mining Medical Informatics Applications Medical Informatics Machine Learning Données volumineuses Exploration de données (Informatique) Médecine ; Informatique Apprentissage automatique Soins médicaux ; Informatique Medicine ; Data processing Medical care ; Data processing |
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