Machine Learning, Big Data, and IoT for Medical Informatics (Paperback)

Theme 1: Machine Learning Approaches for Medical Informatics 1. PHR Based System for Accurate Prediction of Different Disease 2. K-Harmonic Based Attribute Weighting Method for Diabetes Diagnosis 3. Application of Deep Learning for analyzing the healthcare Data 4. Design New Ensemble Classifier for Thyroid Disease Detection

Theme 2: Usability of Big Data for Medical Informatics 5. Smart Healthcare Using Predictive Analytic Techniques 6. A review on Big Data Techniques in Healthcare -Issues, Challenges and Need 7. A Decision Support System Based on Big Data Analytics for Healthcare Management 8. Management of Big Data in Healthcare: A Case Study

Theme 3: IoT based Solutions for Healthcare System 9. IoT Enabled Decision Support System for Diagnosis of Heart Disease 10. Monitoring of Elderly People Using IoT Based Approach 11. E-Healthcare Model for Remote Patients Using IoT and Cloud Based Approach 12. A Review on IoT Based Mechanisms in Healthcare: Approaches, Taxonomy and Challenges 13. Case Study of IOT and Cloud based Solutions for Healthcare

Theme 4: Privacy Preservation Techniques for Healthcare Data 14. Cloud Based Privacy Preservation Technique for Healthcare Data 15. A Survey on Privacy Preservation Techniques in Healthcare: Need, Issues and Potential Solutions 16. A Big Data Framework Using Privacy Preservation Technique for Medical Datasets 17. Privacy Preservation in Medical Data: A Case Study