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Internet of things based smart healt...

Biswas, Suparna.

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Internet of things based smart healthcare = intelligent and secure solutions applying machine learning techniques /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Internet of things based smart healthcare/ edited by Suparna Biswas ... [et al.].
Reminder of title:	intelligent and secure solutions applying machine learning techniques /
other author:	Biswas, Suparna.
Published:	Singapore :Springer Nature Singapore : : 2022.,
Description:	vi, 397 p. :ill., digital ;24 cm.
[NT 15003449]:	Part 1 IoT based Smart Healthcare -- Chapter 1 Introduction -- Chapter 2 Architecture for Smart Healthcare: Cloud vs Edge -- Chapter 3 Main Challenges and Concerns of Health IoT Data -- Part 2 Context and Body Vitals Monitoring Systems -- Chapter 4 Human Activity Recognition Systems Based on Sensor Data using Machine Learning -- Chapter 5 Human Activity Recognition Systems Based on Audio-Video Data using Machine Learning and Deep learning -- Chapter 6 Review of Body Vitals Monitoring Systems for Disease Prediction -- Chapter 7 Review of Context Aware System Implementations -- Part 3 Social Sensing Applications for Public Health -- Chapter 8 Types of Social Sensing Data -- Chapter 9 Social Data Analysis Techniques and Applications -- Chapter 10 Challenges and Limitations of Social Data Analysis Approaches -- Part 4 Reliability, Security and Privacy of Health Data -- Chapter 11 Quality of Service vs Quality of Experience for Real-time Smart Healthcare -- Chapter 12 Security and Privacy Issues of Health Data -- Chapter 13 Review of Performance Metrics and Corrective Measures for Health Data Analysis.
Contained By:	Springer Nature eBook
Subject:	Internet of things. -
Online resource:	https://doi.org/10.1007/978-981-19-1408-9
ISBN:	9789811914089

Internet of things based smart healthcare = intelligent and secure solutions applying machine learning techniques /
Internet of things based smart healthcareintelligent and secure solutions applying machine learning techniques /[electronic resource] :edited by Suparna Biswas ... [et al.]. - Singapore :Springer Nature Singapore :2022. - vi, 397 p. :ill., digital ;24 cm. - Smart computing and intelligence,2522-0896. - Smart computing and intelligence..

Part 1 IoT based Smart Healthcare -- Chapter 1 Introduction -- Chapter 2 Architecture for Smart Healthcare: Cloud vs Edge -- Chapter 3 Main Challenges and Concerns of Health IoT Data -- Part 2 Context and Body Vitals Monitoring Systems -- Chapter 4 Human Activity Recognition Systems Based on Sensor Data using Machine Learning -- Chapter 5 Human Activity Recognition Systems Based on Audio-Video Data using Machine Learning and Deep learning -- Chapter 6 Review of Body Vitals Monitoring Systems for Disease Prediction -- Chapter 7 Review of Context Aware System Implementations -- Part 3 Social Sensing Applications for Public Health -- Chapter 8 Types of Social Sensing Data -- Chapter 9 Social Data Analysis Techniques and Applications -- Chapter 10 Challenges and Limitations of Social Data Analysis Approaches -- Part 4 Reliability, Security and Privacy of Health Data -- Chapter 11 Quality of Service vs Quality of Experience for Real-time Smart Healthcare -- Chapter 12 Security and Privacy Issues of Health Data -- Chapter 13 Review of Performance Metrics and Corrective Measures for Health Data Analysis.

This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things. The book helps readers to bridge the gap in their three understanding of three major domains and their interconnections: Hardware tested and software APP development for data collection, intelligent protocols for analysis and knowledge extraction. Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support. Security experts to ensure data correctness for precise advice. The book provides state-of-the-art overviews by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Future direction and scope will be precisely documented for interested readers.

ISBN: 9789811914089

Standard No.: 10.1007/978-981-19-1408-9doiSubjects--Topical Terms:

2057703
Internet of things.

LC Class. No.: R859.7.I58 / I57 2022

Dewey Class. No.: 610.2854678

Internet of things based smart healthcare = intelligent and secure solutions applying machine learning techniques /
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520 $a This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things. The book helps readers to bridge the gap in their three understanding of three major domains and their interconnections: Hardware tested and software APP development for data collection, intelligent protocols for analysis and knowledge extraction. Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support. Security experts to ensure data correctness for precise advice. The book provides state-of-the-art overviews by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Future direction and scope will be precisely documented for interested readers.
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