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Artificial Intelligence in e-Health Framework, Volume 1
AI, Classification, Wearable Devices, Computer-Aided Diagnosis, E-Health Records
Engleski
421 b
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Artificial Intelligence in e-health Framework, Volume 1: Classification, Wearable Devices, Computer-Aided Diagnosis, E-Health Records 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. It is a valuable resource for health professionals, scientists and 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 frameworkReviews theoretical and application information to develop understanding of AI advances in diagnostics, health monitoring, and records managementDiscusses advanced AI techniques in both machine learning and deep learning for solving healthcare industry issues
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