Main description:

Since Computational Intelligence is a latest technological aspect, the book is likely to be adopted in almost all leading Universities.
This book aims to provide state-of-art research in the context of Computational Intelligence related with Healthcare its applications, challenges and management and it would promote how optimization or intelligent techniques envisage the role of Artificial Intelligence-Machine/Deep Learning (AI-ML/DL) in Healthcare.

Contents:

1. Introduction to Computational Intelligence in Healthcare: Applications, Challenges, and Management, 2. Role of IoT and Machine Learning for E-Healthcare Management, 3. Telemedical and Remote Healthcare Monitoring Using IoT and Machine Learning, 4. Efficient Ways for Healthcare Data Management Using Data Science and Machine Learning, 5. A Novel Scheme to Manage the E-Healthcare System Using Cloud Computing and the Internet of Things, 6. Automating Remote Point-of-Care ECG Diagnostics via Decentralized Report Routing Algorithm, 7. Evaluation of Deep Image Embedders for Healthcare Informatics Improvement Using Visualized Performance Metrics, 8. A Comparative Analysis for Analysing the Performance of Convolutional Neural Network versus Other Machine Learning Techniques to Assess Cardiovascular Disease, 9. A Study of Machine Learning Initiatives in the Global Healthcare Sector Using Different Case Studies, 10. Autism Spectrum Disorder Diagnostic System Using Adaptive Neuro Fuzzy Inference System, 11. Detection of Diabetic Foot Ulcer (DFU) With AlexNet and ResNet-101, 12. A Case Study-Based Analysis on Remote Medical Monitoring with AWS Cloud and Internet of Things (IoT)