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books
| book details |
Applied Mathematics for Healthcare Intelligent Systems: Data Representation, Smart Healthcare, Deep Learning and Medical Imaging
Edited by Monika Sethi, Edited by Shivani Sood, Edited by Saravjeet Singh, Edited by Arfat Ahmad Khan
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| on special |
normal price: R 6 237.95
Price: R 5 613.95
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| book description |
This book offers a comprehensive and interdisciplinary perspective on healthcare intelligent systems, highlighting the growing role of applied mathematics, data-driven methodologies, and artificial intelligence in modern healthcare. The book brings together scholarly contributions that explore how intelligent models, data representations, and computational techniques are applied to healthcare diagnostics, medical imaging, and clinical decision-support systems. The chapters cover a wide range of topics, including medical imaging modalities, data handling and representation, deep learning techniques, explainable and trustworthy artificial intelligence, generative models, three-dimensional reconstruction, performance evaluation metrics, ethical considerations, and emerging trends in healthcare technologies. Through practical insights and real-world case studies, the volume illustrates how intelligent systems support disease detection, diagnosis, and personalized treatment planning. Designed for researchers, graduate students, and professionals in healthcare technology, computer science, and biomedical engineering, this book serves as a valuable reference on intelligent healthcare solutions.
| product details |
Normally shipped |
Publisher | De Gruyter
Published date | 18 May 2026
Language |
Format | Hardback
Pages | 325
Dimensions | 240 x 170 x 0mm (L x W x H)
Weight | 683g
ISBN | 978-3-1122-2621-6
Readership Age |
BISAC | mathematics / differential equations
| other options |
Normally shipped |
Readership Age |
Normal Price | R 7 277.95
Price | R 6 550.95
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Matt Dinniman
Paperback / softback
480 pages
was: R 522.95
now: R 459.95
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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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