Big data analytics for intelligent healthcare management /

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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 : Academic Press, an imprint of Elsevier, [2019]
Colección:Advances in ubiquitous sensing applications for healthcare ; volume three.
Temas:
Computer science.
Computer system failures.
Database management.
Data mining.
Image processing.
Big Data
Data Mining > methods
Data Science > methods
Computing Methodologies
Biomedical Research > methods
Electronic Data Processing
Data Mining
Informatique.
Pannes syst�eme (Informatique)
Bases de donn�ees > Gestion.
Exploration de donn�ees (Informatique)
Traitement d'images.
image processing.
COMPUTERS > Databases > General.
Computer science
Computer system failures
Data mining
Database management
Image processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Bio-inspired algorithms for big data analytics: a survey, taxonomy, and open challenges
  • Big data analytics challenges and solutions
  • Big data analytics in healthcare: a critical analysis
  • Transfer learning and supervised classifier based prediction model for breast cancer
  • Chronic TTH analysis by EMG and GSR biofeedback on various modes and various medical symptoms using IoT
  • Multilevel classification framework of fMRI data: a big data approach
  • Smart healthcare: an approach for ubiquitous healthcare management using IoT
  • Blockchain in healthcare: challenges and solutions
  • Intelligence-based health recommendation system using big data analytics
  • Computational biology approach in management of big data of healthcare sector
  • Kidney-inspired algorithm and fuzzy clustering for biomedical data analysis.

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