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books
| book details |
Deep Learning in Cardiovascular Health: Sustainable Al Approaches for Heart Disease Diagnosis and Treatment
Edited by Anindya Nag, Edited by Md. Mehedi Hassan, Edited by Anupam Kumar Bairagi
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| on special |
normal price: R 8 459.95
Price: R 7 613.95
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| book description |
This book showcases the most recent developments in the application of artificial intelligence to cardiology and medical imaging, with an emphasis on precise diagnosis, early prediction, and patient-centered care. In order to overcome clinical data ambiguity and enhance confidence in automated systems, it presents innovative frameworks that combine deep learning, fuzzy graph neural networks, metaheuristic optimization, and explainable AI. This book bridges the gap between state-of-the-art research and practical healthcare applications by covering a wide range of techniques, including CNNs, RNNs, residual networks, federated learning, and multimodal learning. As a research reference and a manual for implementing AI-driven healthcare solutions, it provides useful tools, datasets, and methodologies that foster innovation in precision medicine and medical decision-making. It is designed for researchers, clinicians, and students.
| product details |
Normally shipped |
Publisher | Springer Nature Switzerland AG
Published date | 12 May 2026
Language |
Format | Hardback
Pages | 257
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0321-2469-2
Readership Age |
BISAC | computers / artificial intelligence
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Mason Coile
Paperback / softback
224 pages
was: R 520.95
now: R 468.95
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A terrifying locked-room mystery set in a remote outpost on Mars.
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An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
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