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Introduction
Hybrid Machine Learning Techniques for Reliability and Security of Healthcare IoT Data
Cryptographic Operations and Approaches for Privacy of IoT Data in healthcare
Standards and Approaches for use of Blockchain Technology in Pervasive Healthcare
Prediction of REM sleep behaviour disorder using EEG signal applied EMG 1 EMG 2 channel
Healthcare Assisted by Fog Computing for Secure Data Transmission in Healthcare IoTs
Experimental approaches for prediction of breast cancer diseases using clustering concepts
Incident reporting system for Pervasive Healthcare
Blockchain Application for Healthcare record management
Applying Machine Learning Approach for Disease prediction
Mobile system for remote patient monitoring
Securing Pervasive Healthcare system
Remote Patient Monitoring: Benefits, Applications and Issues
Self-reporting in Pervasive Healthcare
Role of Big Data Analytics in Pervasive Healthcare
ML Techniques for remote patient activity monitoring
Trust Management in Pervasive Healthcare
Disease Detection using Android App
Application of computer assisted machine learning based techniques in detecting neurological disorders
Conclusion.

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