Artificial Intelligence for the Internet of Health Things [Paperback]

This book discusses research of Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions.

1. Artificial Intelligence (AI) for IoHT  an Introduction. 

2. Role of Internet of Things and Cloud Computing Technologies in the Healthcare Sector. 

3. An Extensive Overview of Wearable Technologies in Healthcare Sector. 

4. IoHT and Cloud-Based Disease Diagnosis Model Using Particle Swarm Optimization with Artificial Neural Networks. 

5. IoHT-Based Improved Grey Optimization with Support Vector Machine for Gastrointestinal Hemorrhage Detection and Diagnosis Model. 

6. An Effective-Based Personalized Medicine Recommendation System Using Ensemble of Extreme Learning Machine Model. 

7. A Novel Map Reduce-Based Hybrid Decision Tree with TFIDF Algorithm for Public Sentiment Mining of Diabetes Mellitus. 

8. IoHT with Artificial Intelligence-Based Breast Cancer Diagnosis Model. 

9. Artificial Intelligence with Cloud-Based Medical Image Retrieval System Using Deep Neural Network. 

10. IoHT with Cloud-Based Brain Tumor Detection Using Particle Swarm Optimization with Support Vector Machine. 

11. Artificial Intelligence-Based Hough Transform with an Adaptive Neuro-Fuzzy Inference System for a Diabetic Retinopathy Classification Model. 

12. An IoHT-Based Intelligent Skin Lesion Detection and Classification Model in Dermoscopic Images. 

13. An IoHT-Based Image Compression Model Using Modified Cuckoo Search Algorithm wil“0