Name: Pervasive Healthcare: A Compendium of Critical Factors for Success (en Inglés)
Price: 160.05 USD
Availability: InStock
Author: Husain, Mohammad Shahid ; Adnan, Muhamad Hariz Bin Muhamad ; Khan, Mohammad Zunnun
ISBN: 9783030777487

portada Pervasive Healthcare: A Compendium of Critical Factors for Success (en Inglés)

Pervasive Healthcare: A Compendium of Critical Factors for Success (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Husain, Mohammad Shahid ; Adnan, Muhamad Hariz Bin Muhamad ; Khan, Mohammad Zunnun

Idioma

Inglés

N° páginas

379

Encuadernación

Tapa Blanda

ISBN13

9783030777487

Categorías

Bioinformática médica
Ingeniería biomédica
Biotecnología
Ingeniería de las comunicaciones/las telecomunicaciones

Pervasive Healthcare: A Compendium of Critical Factors for Success (en Inglés)

Husain, Mohammad Shahid ; Adnan, Muhamad Hariz Bin Muhamad ; Khan, Mohammad Zunnun (Autor) · Springer · Tapa Blanda

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Reseña del libro "Pervasive Healthcare: A Compendium of Critical Factors for Success (en Inglés)"

This book provides in depth knowledge about critical factors involved in the success of pervasive healthcare. The book first presents critical components and importance of pervasive healthcare. The authors then give insight into the pervasive healthcare information systems and key consideration related to remote patient monitoring and safety. The book provides in-depth discussion about the security issues and protocols for pervasive healthcare. This book explores concepts and techniques behind the successive pervasive healthcare systems by providing in-depth knowledge about patient empowerment, remote patient monitoring, network establishment and protocols for effective pervasive healthcare. The book also provides case studies in the field. It is an ideal resource for researchers, students and healthcare organizations to get insight about the state of the art in pervasive healthcare systems.Provides current research, developments, and applicationsin pervasive healthcare;Includes technologies such as machine learning, cryptography, fog computing, and big data in the advancement of e-healthcare;Pertinent for researchers, students, practitioners and healthcare decision makers.