Artificial intelligence for the internet of health things 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 Artificial Intelligence (AI) for IoHT an Introduction Role of Internet of Things and Cloud Computing Technologies in Healthcare Sector An Extensive Overview of Wearable Technologies in Healthcare Sector IoHT and Cloud based Disease Diagnosis Model using Particle Swarm Optimization with Artificial Neural Networks IoHT Based Improved Grey Optimization with Support Vector Machine for Gastrointestinal Haemorrhage Detection and Diagnosis Model An Effective Based Personalized Medicine Recommendation System using Ensemble of Extreme Learning Machine Model A Novel Map Reduce Based Hybrid Decision Tree with TFIDF Algorithm for Public Sentiment Mining of Diabetes Mellitus IoHT with Artificial Intelligence based Breast Cancer Diagnosis Model Artificial Intelligence with a Cloud Based Medical Image Retrieval System using Deep Neural Network Internet of Health Things with Cloud based Brain Tumor Detection using Particle Swarm Optimization with Support Vector Machine Artificial Intelligence Based Hough Transform with Adaptive Neuro Fuzzy Inference System for Diabetic Retinopathy Classification Model An Internet of Health Things (IoHT) based Intelligent Skin Lesion Detection and Classification Model in Dermoscopic Images Internet of Health Things based Image Compression Model using Modified Cuckoo Search Algorithm with Vector Quantization An Effective Secure Medical Image Transmission using Improved Particle Swarm Optimization and Wavelet Transform IoHT with Wearable Devices Based Feature Extraction and Deep Neural Networks Classification Model for Heart Disease Diagnosis.