Federated Intelligent System for Healthcare
a practical guide
$467.86
- Hardcover
320 pages
- Release Date
8 September 2025
Summary
Revolutionizing Healthcare with Federated Intelligence: A Practical Guide
This practical guide gives valuable insights for integrating advanced technologies in healthcare, empowering researchers to effectively navigate and implement federated systems to enhance patient care.
Federated Intelligent Systems for Healthcare: A Practical Guide explores the integration of federated learning and intelligent systems within the healthcare domain. This volume …
Book Details
| ISBN-13: | 9781394271351 |
|---|---|
| ISBN-10: | 1394271352 |
| Author: | S. Rakesh Kumar, N. Gayathri, Seifedine Kadry |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | Wiley-Scrivener |
| Format: | Hardcover |
| Number of Pages: | 320 |
| Release Date: | 8 September 2025 |
| Weight: | 0g |
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About The Author
S. Rakesh Kumar
S. Rakesh Kumar, PhD, is an assistant professor in the Department of Computer Science and Engineering at the Gandhi Institute of Technology and Management, Visakhapatnam, India. He has published four books and over 50 articles in international journals and conference proceedings. His research interests include artificial intelligence, machine learning, and big data applications.
N. Gayathri, PhD, is an assistant professor in the Department of Computer Science and Engineering at the Gandhi Institute of Technology and Management, Visakhapatnam, India. She has published four books and over 50 articles in international journals and serves as a guest editor and reviewer for several journals. Her research interests include big data analytics, Internet of Things, and machine learning.
Seifedine Kadry, PhD, is a professor in the Department of Applied Data Science at Noroff University and Lebanese American University. He serves as an ABET program evaluator, distinguished speaker of the Institute of Electrical and Electronics Engineers Computer Society, and a fellow of several other international societies. His research focuses on data science, education using technology, system prognostics, stochastic systems, and applied mathematics.
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