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1st Edition - January 14, 2020
Editors: Basant Agarwal, Valentina Emilia Balas, Lakhmi C. Jain, Ramesh Chandra Poonia, Manisha Sharma
Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and practitioners will find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches and comprehensive critical discussions on experimental results and how they are applied to Biomedical Engineering, Electronic Health Records, and medical image processing.
Biomedical engineers and researchers in data analytics, Big Data, health care management and intelligent systems
Part I: Deep Learning for Biomedical Engineering and Health Informatics
Part II: Deep Learning and Electronics Health Records
Part III: Deep Learning for Medical Image Processing
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