Smart Healthcare System Design : Security and Privacy Aspects

Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Dedications -- Contents -- Preface -- Acknowledgments -- 1 Machine Learning Technologies in IoT EEG-Based Healthcare Prediction -- 1.1 Introduction -- 1.1.1 Descriptive Analytics -- 1.1.2 Analytical Methods -- 1.1.3 Predictive Analysis -- 1.1.4 Behavioral Analysis -- 1.1.5 Data Interpretation -- 1.1.6 Classification -- 1.2 Related Works -- 1.3 Problem Definition -- 1.4 Research Methodology -- 1.4.1 Components Used -- 1.4.2 Specifications and Description About Components -- 1.4.3 Cloud Feature Extraction -- 1.4.4 Feature Optimization -- 1.4.5 Classification and Validation -- 1.5 Result and Discussion -- 1.5.1 Result -- 1.5.2 Discussion -- 1.6 Conclusion -- 1.6.1 Future Scope -- References -- 2 Smart Health Application for Remote Tracking of Ambulatory Patients -- 2.1 Introduction -- 2.2 Literature Work -- 2.3 Smart Computing for Smart Health for Ambulatory Patients -- 2.4 Challenges With Smart Health -- 2.4.1 Emergency Support -- 2.4.2 The Issue With Chronic Disease Monitoring -- 2.4.3 An Issue With the Tele-Medication -- 2.4.4 Mobility of Doctor -- 2.4.5 Application User Interface Issue -- 2.5 Security Threats -- 2.5.1 Identity Privacy -- 2.5.2 Query Privacy -- 2.5.3 Location of Privacy -- 2.5.4 Footprint Privacy and Owner Privacy -- 2.6 Applications of Fuzzy Set Theory in Healthcare and Medical Problems -- 2.7 Conclusion -- References -- 3 Data-Driven Decision Making in IoT Healthcare Systems-COVID-19: A Case Study -- 3.1 Introduction -- 3.1.1 Pre-Processing -- 3.1.2 Classification Algorithms -- 3.2 Experimental Analysis -- 3.3 Multi-Criteria Decision Making (MCDM) Procedure -- 3.3.1 Simple Multi Attribute Rating Technique (SMART) -- 3.3.2 Weighted Product Model (WPM) -- 3.3.3 Method for Order Preference by Similarity to the Ideal Solution (TOPSIS) -- 3.4 Conclusion..

Medienart:	E-Book

Erscheinungsjahr:	2021 ©2021
Erschienen:	Newark: John Wiley & Sons, Incorporated ; 2021 ©2021

Reihe:	Advances in Learning Analytics for Intelligent Cloud-IoT Systems Ser.

Sprache:	Englisch

Beteiligte Personen:	Islam, S. K. Hafizul [VerfasserIn] Samanta, Debabrata [Mitwirkende/r]

Links:	ebookcentral.proquest.com [lizenzpflichtig]

ISBN:	978-1-119-79224-6

Themen:	Electronic books

Anmerkungen:	Description based on publisher supplied metadata and other sources

Umfang:	1 online resource (384 pages)

Förderinstitution / Projekttitel:

PPN (Katalog-ID):	1774808684