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.
Inhaltsverzeichnis
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 Using MRI Images Employing Deep Neural Network. 10. Nanorobots in the Treatment of Cancer: A Revolutionizing and Precision Medicine With Advantages and Limitations. 11. Methods of Explainable AI for Continuum Blood Glucose Monitoring with Various Challenges and Future Research Direction. 12. IoT and AI-based Intelligent Management of Heart Rate Monitoring. 13. Brain Tumor Prediction using MRI Images Employing Convolutional Neural Network (CNN). 14. Decision Support System for Miscarriage Rate Prediction. Index.
