IoT and AI-Enabled Healthcare Solutions for Intelligent Disease Prediction [Hardcover]

The book presents fundamental to advanced concepts of AI and IoT in healthcare and disease prediction, demonstrating the emerging mechanisms, including machine learning, deep learning, image sensing, and explainable AI models to handle issues in healthcare industries with real-life scenarios. Included chapters are contributed by experienced professionals and academicians who examine severe diseases, applications, models, tools, frameworks, case studies, applications, and best practices in Healthcare. This book integrates the medical domain with AI technology. It covers trending explainable AI, computer vision (CV), and IoT that facilitate automation for healthcare solutions and medical diagnostics. The primary focus on explainable AI uncovers the black box of deep learning and bridges the distance between medical professionals and technologists. IoT in Healthcare: provides a mechanism of image sensing and is helpful in surgical tools.

This book is about IoT and AI-based health solutions that are transforming medical diagnosis and disease prediction. This facilitate the early detection of diabetes, heart disease, and cancer, advancing patient care. They also ensure anticipatory care and improve monitoring of patients, making healthcare more efficient and data-driven.

Preface. 1. Introduction to IoT and AI for Providing Healthcare Solutions. 2. Seeing Beyond Symptoms: Utilizing Machine Learning Techniques for Early Diabetes Diagnosis. 3. A Decent ML-Based System for Cardiovascular Disease Detection. 4. Breast Cancer Detection Using Explainable Artificial Intelligence. 5. Deep Learning Applications for Chronic Disease Detection and Prevention. 6. Glaucoma Detection Using Retinal Images Employing Machine Learning (ML) Algorithms. 7. Design and Development of Intelligent Systems for Skin Cancer Detection. 8. IoT Enabled System for Regulating Medical Efficiency and Healthcare Services. 9. Tumor Prediction UlCh