Big-Data Analytics for Cloud, IoT and Cognitive Computing

7Machine Learning for Big Data in Healthcare Applications

CHAPTER OUTLINE

1. 7.1 Healthcare Problems and Machine Learning Tools
   1. 7.1.1 Healthcare and Chronic Disease Detection Problem
   2. 7.1.2 Software Libraries for Machine Learning Applications
2. 7.2 IoT-based Healthcare Systems and Applications
   1. 7.2.1 IoT Sensing for Body Signals
   2. 7.2.2 Healthcare Monitoring System
   3. 7.2.3 Physical Exercise Promotion and Smart Clothing
   4. 7.2.4 Healthcare Robotics and Mobile Health Cloud
3. 7.3 Big Data Analytics for Healthcare Applications
   1. 7.3.1 Healthcare Big Data Preprocessing
   2. 7.3.2 Predictive Analytics for Disease Detection
   3. 7.3.3 Performance Analysis of Five Disease Detection Methods
   4. 7.3.4 Mobile Big Data for Disease Control
4. 7.4 Emotion-Control Healthcare Applications
   1. 7.4.1 Mental Healthcare System
   2. 7.4.2 Emotion-Control Computing and Services
   3. 7.4.3 Emotion Interaction through IoT and Clouds
   4. 7.4.4 Emotion-Control via Robotics Technologies
   5. 7.4.5 A 5G Cloud-Centric Healthcare System
5. 7.5 Conclusions

7.1 Healthcare Problems and Machine Learning Tools

This chapter is devoted to the applications of predictive analytics in healthcare and disease detection. First, we review some IoT-supported healthcare systems. We focus on healthcare monitoring and physical exercise promotion systems. These medical domain requirements are assessed first. Then, we present the analytic solution systems using machine learning techniques supported by clouds, mobile devices and IoT resources.

7.1.1 Healthcare and ...