E-book Análisis macroeconómico de países

Introduction to Medical Big Data Analytics.

Introduction to IoT Devices and Health Bioinformatics. 

Part A: IoT in Life Sciences. 

1. IoT and Robotics in Healthcare.

 2. Implantable Electronics: Integration of Bio-interfaces, Devices and Sensors.

3. Electronic Devices, Circuits and Systems for Non-Invasive Diagnosis.

4. Internet of Things for Remote Healthcare and Health Monitoring.

5. Medical Electronics, Biomedical Instrumentations.

6. Surface Imaging for Bio-medical Applications.

7. Radiofrequency Devices, Circuits and Systems for e-Medicine.

8. Network Architectures and Frameworks for IoT Medical Applications.

9. Medical Big Data Management Systems and Infrastructures. 

Part B: Telemedicine and Health Care. 

10. Disease Management, Auto-Administer Therapies.

11. Recommender Systems and Decision Support Systems.

12. Human Machine Interfaces.

13. Telemedicine and Mobile Applications- Healthcare.

 Part C: Medical Big Data Mining and Processing. 

11. Big Data Mining Methods in Medical Applications.

12. Pattern Recognition, Features Extraction, Feature Reduction and Selection Techniques in Biomedical Applications.13. Classifiers in Biomedical and Healthcare Applications. 

Part D: Case studies for Classification in Medical Problems. 

14. Applications.

15. Privacy and Security Issues in Big Data.

16. Standards, Challenges, and Recommendations for Advanced Classifiers in Medical Applications.