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About Artificial Intelligence in e-Health Framework v.1
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 Learning 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. Deep Learning, an AI approach, trains computers to emulate human brain processes. Deep Learning models yield precise predictions by discerning intricate images, text, and sound patterns. This is a valuable resource for health professionals, scientists, researchers, students, and all who wish to broaden their knowledge in this advancing technology.
Detailed Information
| Author: | Sudip Paul |
|---|---|
| Language: | English |
| File Size: | 17 |
| Format: | |
| Price: | FREE |
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