Deep Learning Techniques for Biomedical and Health Informatics
- 1st Edition - January 14, 2020
- Editors: Basant Agarwal, Valentina Emilia Balas, Lakhmi C. Jain, Ramesh Chandra Poonia, Manisha Sharma
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 9 0 6 1 - 6
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 9 0 6 2 - 3
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 informati… Read more
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Request a sales quoteDeep 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.
- Examines a wide range of Deep Learning applications for Biomedical Engineering and Health Informatics, including Deep Learning for drug discovery, clinical decision support systems, disease diagnosis, prediction and monitoring
- Discusses Deep Learning applied to Electronic Health Records (EHR), including health data structures and management, deep patient similarity learning, natural language processing, and how to improve clinical decision-making
- Provides detailed coverage of Deep Learning for medical image processing, including optimizing medical big data, brain image analysis, brain tumor segmentation in MRI imaging, and the future of biomedical image analysis
Biomedical engineers and researchers in data analytics, Big Data, health care management and intelligent systems
- No. of pages: 367
- Language: English
- Edition: 1
- Published: January 14, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128190616
- eBook ISBN: 9780128190623
BA
Basant Agarwal
VE
Valentina Emilia Balas
LJ
Lakhmi C. Jain
RP
Ramesh Chandra Poonia
MS