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Internet of Things Based Smart Healthcare

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Cover of 'Internet of Things Based Smart Healthcare'

Table of Contents

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    Book Overview
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    Chapter 1 Wearable Sensors and Machine Intelligence for Smart Healthcare
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    Chapter 2 Architecture for Smart Healthcare: Cloud Versus Edge
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    Chapter 3 The Medical Internet of Things: A Review of Intelligent Machine Learning and Deep Learning Applications for Leveraging Healthcare
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    Chapter 4 Main Challenges and Concerns of IoT Healthcare
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    Chapter 5 Challenges of Handling Data in IoT-Enabled Healthcare
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    Chapter 6 Human Activity Recognition Systems Based on Sensor Data Using Machine Learning
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    Chapter 7 Human Activity Recognition Systems Based on Audio-Video Data Using Machine Learning and Deep Learning
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    Chapter 8 On Body Vitals Monitoring for Disease Prediction: A Systematic Survey
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    Chapter 9 Review of Body Vitals Monitoring Systems for Disease Prediction
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    Chapter 10 Quantitative Assessment of Smartphone Usage in College Students—A Digital Phenotyping Approach
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    Chapter 11 Home Automation System Combining Internet-of-Things with Brain–Computer Interfacing
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    Chapter 12 “Montaj”: A Gaming System for Assessing Cognitive Skills in a Mobile Computing Platform
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    Chapter 13 Social Data Analysis Techniques and Applications
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    Chapter 14 Challenges and Limitations of Social Data Analysis Approaches
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    Chapter 15 IoT-Based Secure Health Care: Challenges, Requirements and Case Study
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    Chapter 16 Applications of IoT and Blockchain Technologies in Healthcare: Detection of Cervical Cancer Using Machine Learning Approaches
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    Chapter 17 Remote Sensing in Public Health Environment: A Review
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Title
Internet of Things Based Smart Healthcare
Published by
Springer Nature Singapore, July 2022
DOI 10.1007/978-981-19-1408-9
ISBNs
978-9-81-191407-2, 978-9-81-191408-9
Editors

Biswas, Suparna, Chowdhury, Chandreyee, Acharya, Biswaranjan, Liu, Chuan-Ming

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