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Artificial Intelligence in e-Health Framework, Volume 1: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis

Artificial Intelligence in e-Health Framework, Volume 1: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis

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ISBN

978-0443138164, 9780443138171

Authors

Publisher

Elsevier

Published Date

2025

Language

‎English

Page Count

1491

Size

12 MB

By Sudip Paul PDF (CSSE) Ph.D (BME) M.Tech (BME) B.Tech (BME), Jasjit S. Suri PhD MBA FIEEE FAMIBE FAIUM FSVM FAPVS 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 Product Details Publisher ‏ : ‎ Academic Press; 1st edition (February 10, 2025) Language ‏ : ‎ English Paperback ‏ : ‎ 344 pages ISBN-10 ‏ : ‎ 0443138168 ISBN-13 ‏ : ‎ 978-0443138164

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