Internet of Healthcare Things Machine Learning for Security and Privacy Machine Learning in Biomedical Science and Healthcare Informatics 1st Edition by Kavita Sharma 9781119792444 1119792444

Internet of Healthcare Things Machine Learning for Security and Privacy Machine Learning in Biomedical Science and Healthcare Informatics 1st Edition Kavita Sharma – Ebook Instant Download/Delivery ISBN(s): 9781119791768, 1119791766, 9781119792444, 1119792444

Product details:

• ISBN 10: 1119792444
• ISBN 13: 9781119792444
• Author: Kavita Sharma

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.

Table contents:

1 Data Security and Privacy Concern in the Healthcare System

2 Authentication and Authorization Mechanisms for Internet of Healthcare Things

3 Security and Privacy Issues Related to Big Data-Based Ubiquitous Healthcare Systems

4 Machine Learning Aspects for Trustworthy Internet of Healthcare Things

5 Analyzing Recent Trends and Public Sentiment for Internet of Healthcare Things and Its Impact on Future Health Crisis

6 Rise of Telemedicine in Healthcare Systems Using Machine Learning: A Key Discussion

7 Trusted Communication in the Healthcare Sector Using Blockchain

8 Blockchain in Smart Healthcare Management

9 Organ Trafficking on the Dark Web—The Data Security and Privacy Concern in Healthcare Systems

10 Deep Learning Techniques for Data Analysis Prediction in the Prevention of Heart Attacks

11 Supervising Healthcare Schemes Using Machine Learning in Breast Cancer and Internet of Things (SHSMLIoT)

12 Perspective-Based Studies of Trust in IoHT and Machine Learning-Brain Cancer

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