Artificial Intelligence in e-health Framework, Volume One: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis presents a variety of AI techniques and applications for solving issues in the healthcare industry. As Artificial Intelligence is increasingly incorporated into medical systems and methods, it is critical to understand the formulations and basics of machine and deep learning as well as how to implement these advances into practice. This book specifically explores Artificial Intelligence developments in disease diagnosis, health monitoring, medical image recognition, and diagnostics, as well as e-health records management.This is a valuable resource for health professionals, scientists, researchers, students, and all who wish to broaden their knowledge in this advancing technology.
- Provides an in-depth introduction to Artificial Intelligence in e-health framework
- Reviews theoretical and application information to develop understanding of AI advances in diagnostics, health monitoring, and records management
- Discusses advanced AI techniques in both machine learning and deep learning for solving healthcare industry issues
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ISBN-13
978-0-443-13817-1 (9780443138171)
Schweitzer Klassifikation
Section 1: Introduction to Artificial Intelligence1. Data Processing2. Regression, Classification, and Clustering Algorithms3. Deep LearningSection 2: Application of Artificial Intelligence in Disease Diagnosis4. Application of Artificial Intelligence in Pioneering Heart Disease Detection5. From Data to Diagnosis: Leveraging Machine Learning for Heart Disease Classification with the Cleveland Heart Disease Dataset6. AI-based Treatment Solutions7. Application of AI in Big Data ManagementSection 3: AI in Health Monitoring and Wearables Devices8. Remote Health Monitoring Using Artificial Intelligence9. Predicting Women's Fertility with AI10. A Comparative Study on "Face Mask Detection" Using Machine Learning and Deep Learning Algorithms11. Enhancing Communication: A Review on AI Wearables for the Deaf and Mute12. AI based cuffless digital sphygmomanometric measuring system for chronic illness patientsSection 4: Application of AI Medical Image Recognition13. Identifying Cardiovascular Abnormalities14. Non-linear Activation Functions of CNN for Classification of MRI Brain tumor Images15. Artificial Intelligence-Based Management Prospects of Neurological Disorders with Special Reference to Epilepsy16. Screening for Common Cancers
