- ホーム
- > 洋書
- > 英文書
- > Computer / Databases
Full Description
The new book highlights the application of artificial intelligence, machine learning, and deep learning techniques to diagnose medical problems. General predictive analysis methods are explained in disease detection applications along with machine learning techniques for the implementation of predictive analysis methods. The book covers object detection approaches for diseases such as pneumonia, application of monitoring and tracking the coronavirus disease, various endodontic applications for handling diagnostic abnormalities using deep learning methods, applications of healthcare for human activity recognition, and more.
Contents
Introduction 1. Predictive and Descriptive Analytics in Healthcare 2. Biomimetics and Mind-Machine Interface: The Human Brain as a Quantum Computer 3. The Inevitable Artificial Intelligence Revolution in Healthcare 4. Object Detection Approach for Pneumonia Detection Using X-Ray Images 5. Corona Tracker: An Application for Monitoring and Tracking Corona Disease 6. Investigation on Diagnosing Irregularities in Endodontic Applications Using Deep Learning Methods 7. Teknomo-Fernandez Kernelized Discriminant Analysis-Based Connectionist Deep Multilayer Perceptive Neural Learning for Human Activity Recognition 8. Transforming Healthcare with AI: An Adequate Method for Diabetes Prediction Using Machine Learning Techniques 9. A Survey on Artificial Intelligence and Machine Learning Approaches for Medical Data Authentication 10. Data-Driven Analytics for Healthcare: Artificial Intelligence and Machine Learning for Medical Diagnostics 11. M-Blockchain: A Futuristic Approach for Healthcare 12. Blockchain in Healthcare: Evolution, Applications, and Challenges
