Téléchargez le livre : Internet of Healthcare Things

Internet of Healthcare Things

Machine Learning for Security and Privacy de

Éditeur :

Wiley-Scrivener


Collection :

Machine Learning in Biomedical Science and Healthcare Informatics

Paru le : 2022-01-28

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Description
INTERNET OF HEALTHCARE THINGS
The book addresses privacy and security issues providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, so that machine learning-enabled IoT devices can deliver information concealed in data for fast, computerized responses and enhanced decision-making.
The main objective of this book is to motivate healthcare providers to use telemedicine facilities for monitoring patients in urban and rural areas and gather clinical data for further research. To this end, it provides an overview of the Internet of Healthcare Things (IoHT) and discusses one of the major threats posed by it, which is the data security and data privacy of health records. Another major threat is the combination of numerous devices and protocols, precision time, data overloading, etc. In the IoHT, multiple devices are connected and communicate through certain protocols. Therefore, the application of emerging technologies to mitigate these threats and provide secure data communication over the network is discussed. This book also discusses the integration of machine learning with the IoHT for analyzing huge amounts of data for predicting diseases more accurately. Case studies are also given to verify the concepts presented in the book.
Audience
Researchers and industry engineers in computer science, artificial intelligence, healthcare sector, IT professionals, network administrators, cybersecurity experts.
Pages
304 pages
Collection
Machine Learning in Biomedical Science and Healthcare Informatics
Parution
2022-01-28
Marque
Wiley-Scrivener
EAN papier
9781119791768
EAN PDF
9781119792451
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
304
Taille du fichier
11571 Ko
Prix
223,61 €
EAN EPUB
9781119792444
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
304
Taille du fichier
6892 Ko
Prix
223,61 €

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