Artificial Intelligence for the Internet of Health Things
- Available for pre-order. Item will ship after April 16, 2021
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. Featuring a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI based healthcare applications.
Table of Contents
1. Artificial Intelligence (AI) for IoHT – an Introduction. 2. Role of Internet of Things and Cloud Computing Technologies in Healthcare. 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 Haemorrhage 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. Internet of Health Things with Cloud based Brain Tumor Detection using Particle Swarm Optimization with Support Vector Machine. 11. Artificial Intelligence Based Hough Transform with Adaptive Neuro Fuzzy Inference System for Diabetic Retinopathy Classification Model. 12. An Internet of Health Things (IoHT) based Intelligent Skin Lesion Detection and Classification Model in Dermoscopic Images. 13. Internet of Health Things based Image Compression Model using Modified Cuckoo Search Algorithm with Vector Quantization. 14. An Effective Secure Medical Image Transmission using Improved Particle Swarm Optimization and Wavelet Transform. 15. IoHT with Wearable Devices Based Feature Extraction and Deep Neural Networks Classification Model for Heart Disease Diagnosis
K. Shankar (Member, IEEE) is a Postdoctoral Fellow of Department of Computer Applications, Alagappa University, Karaikudi, India.
Eswaran Perumal is working as an Assistant Professor of Department of Computer Applications, Alagappa University, Karaikudi, India.
Dr. Deepak Gupta is working as an Assistant Professor of Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.