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Applied Mathematics for Healthcare Intelligent Systems

Data Representation, Smart Healthcare, Deep Learning and Medical Imaging
Brief 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... Read More
Format: Hardback
$50400

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Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! 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 personalised treatment planning.

Designed for researchers, graduate students, and professionals in healthcare technology, computer science, and biomedical engineering, Applied Mathematics for Healthcare Intelligent Systems serves as a valuable reference on intelligent healthcare solutions.

Series: Mathematical Methods in the Digital Age

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  • Applied Mathematics for Healthcare Intelligent Systems
    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...
    Hardback
    $50400
    Available
    Ships in 2-3 weeks

Book Details

INFORMATION

ISBN: 9783112226216

Publisher: De Gruyter

Format: Hardback

Date Published: 18 May 2026

Country: Germany

Imprint: De Gruyter Mouton

Illustration: 72 Illustrations; 25 Tables, black and white

Contributors:

  • Edited by Monika Sethi
  • Edited by Shivani Sood
  • Edited by Saravjeet Singh
  • Edited by Arfat Ahmad Khan

Audience: Professional and scholarly

DIMENSIONS

Width: 170.0mm

Height: 240.0mm

Weight: 683g

Pages: 325

About the Author

Dr Monika Sethi ย is professor in the Department of Computer Science and Engineering at Chitkara University, Punjab, India. She has over 15 yearsโ€™ experience in the field of teaching and research. Her research interests include Image Processing (ADNI-MRI Images), Deep Learning, Machine Learning, and Wireless Sensor Networks. Her teaching interests include C, C++, Python, Data Structures, Operating Systems, Computer System Architecture, Computer Graphics and Digital Electronics. She has published 28+ research papers in international journals and conferences (Scopus Indexed) and filed 14 patents (9 granted and 5 published). She is a member of the IEI. She holds a ย PhD degree in โ€œEnhancing the Performance of Convolutional Neural Network for Alzheimerโ€™s disease Classificationโ€ from Chitkara University, Punjab ย and a MTech in (Power Efficient Hierarchical Centralized Routing in WSN) from NIT Hamirpur, India.

Dr Shivani Sood is an assistant professor in the Department of the School of Computer Applications at Lovely Professional University, Phagwara, Punjab, India. Her research interests include Pattern Recognition, Machine Learning, Image Processing, and Data science. Her teaching interests include Python, Java, C/C++, Advanced Data structures, and Data Structure. She has over 7 years of experience in academia, and research. She has filed 2 patents and published 10 articles in international journals and conferences. She holds a Master degree from Sri Sai College of Engineering College, Pathankot. Her specialization includes Advanced Java, Database management skills in their entrepreneurships training . She holds a Ph.D. degree in Computer Science on โ€œDetection and classification of diseases on wheat crop using computer vision and machine learning techniquesโ€ in 2023 from Chitkara University (Punjab), India.ย 

Dr Saravjeet Singh has a Ph.D. degree in computer science and engineering. ย Currently he is working as associate professor in the Department of Computer Science and Engineering at Chitkara University, Punjab, India. He has over 14 years of experience in research, development, and academia. His research interests include offline navigation systems, spatial databases, pattern recognition, mental disorders, and software engineering. He has published 55+ research papers in international journals and conferences (Scopus Indexed) and filed 8 patents.ย 

Arfat Ahmad Khan received the B.Eng. degree in Electrical Engineering from The University of Lahore, Pakistan, in 2013, the M.Eng. degree in Electrical Engineering from the Government College University Lahore, Pakistan, in 2015, and the Ph.D. degree in Telecommunication and Computer Engineering from the Suranaree University of Technology, Thailand, in 2018. From 2014 to 2016, he was an RF Engineer with Etisalat, United Arab Emirates. From 2018 to 2022, he was a Lecturer and a Senior Researcher with the Suranaree University of Technology. He is currently a Senior Lecturer and a Researcher with Khon Kaen University, Thailand. He is rankedamong the world's top 2 percent scientists by Stanford University, USA and Elsevier. He has more 60 high impact factored research publications, where some of his publications are published in top ranked journals including but not limited to IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Consumer Electronics, IEEE Transactions on Network Science and Management, IEEE Transactions on Vehicular Technology, Expert System with Applications, Biomedical Signal Processing and Control, CAAI Transactions on Intelligence System. ย His research interests include Machine, Deep, and Federated Learning for various applications including medical image processing, cyber security, speech recognition, agriculture, healthcare, and advanced wireless communications.

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