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by Rohit Tanwar, S. Balamurugan, Rakesh Kumar Saini, Vishal Bharti, Premkumar Chith
Advanced Healthcare Systems
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Copyright
Preface
1 Internet of Medical Things—State-of-the-Art
2 Issues and Challenges Related to Privacy and Security in Healthcare Using IoT, Fog, and Cloud Computing
3 Study of Thyroid Disease Using Machine Learning
4 A Review of Various Security and Privacy Innovations for IoT Applications in Healthcare
5 Methods of Lung Segmentation Based on CT Images
6 Handling Unbalanced Data in Clinical Images
7 IoT-Based Health Monitoring System for Speech-Impaired People Using Assistive Wearable Accelerometer
8 Smart IoT Devices for the Elderly and People with Disabilities
9 IoT-Based Health Monitoring and Tracking System for Soldiers
10 Cloud-IoT Secured Prediction System for Processing and Analysis of Healthcare Data Using Machine Learning Techniques
11 CloudIoT-Driven Healthcare: Review, Architecture, Security Implications, and Open Research Issues
12 A Novel Usage of Artificial Intelligence and Internet of Things in RemoteBased Healthcare Applications
13 Use of Machine Learning in Healthcare
14 Methods of MRI Brain Tumor Segmentation
15 Early Detection of Type 2 Diabetes Mellitus Using Deep Neural Network–Based Model
16 A Comprehensive Analysis on Masked Face Detection Algorithms
17 IoT-Based Automated Healthcare System
Index
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Copyright
Advanced Healthcare Systems
Empowering Physicians with IoT-Enabled Technologies
Edited by
Rohit Tanwar,
S. Balamurugan,
R. K. Saini,
Vishal Bharti
and
Premkumar Chithaluru
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