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Big data analytics for intelligent healthcare management /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Dey, Nilanjan, 1984- (Editor ), Das, Himansu (Editor ), Naik, Bighnaraj (Editor ), Behera, Himansu Sekhar (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; San Diego, CA : Academic Press, [2019]
Edición:First edition.
Colección:Advances in ubiquitous sensing applications for healthcare ; v. 3.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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264 1 |a London ;  |a San Diego, CA :  |b Academic Press,  |c [2019] 
264 4 |c ©2019 
300 |a 1 online resource (1 volume) :  |b illustrations 
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490 1 |a Advances in ubiquitous sensing applications for healthcare ;  |v Volume three 
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504 |a Includes bibliographical references and index. 
520 |a 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. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Big data. 
650 0 |a Data mining. 
650 0 |a Medical informatics. 
650 0 |a Medical care  |x Data processing. 
650 0 |a Machine learning. 
650 0 |a Medicine  |x Data processing. 
650 2 |a Data Mining 
650 2 |a Medical Informatics Applications 
650 2 |a Medical Informatics 
650 2 |a Machine Learning 
650 6 |a Données volumineuses. 
650 6 |a Exploration de données (Informatique) 
650 6 |a Médecine  |x Informatique. 
650 6 |a Apprentissage automatique. 
650 6 |a Soins médicaux  |x Informatique. 
650 7 |a Medicine  |x Data processing  |2 fast 
650 7 |a Big data  |2 fast 
650 7 |a Data mining  |2 fast 
650 7 |a Machine learning  |2 fast 
650 7 |a Medical care  |x Data processing  |2 fast 
650 7 |a Medical informatics  |2 fast 
700 1 |a Dey, Nilanjan,  |d 1984-  |e editor. 
700 1 |a Das, Himansu,  |e editor. 
700 1 |a Naik, Bighnaraj,  |e editor. 
700 1 |a Behera, Himansu Sekhar,  |e editor. 
830 0 |a Advances in ubiquitous sensing applications for healthcare ;  |v v. 3. 
856 4 0 |u https://learning.oreilly.com/library/view/~/9780128181478/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
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