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Deep Learning Techniques for Biomedical and Health Informatics

By: Basant Agarwal Valentina Emilia Balas Lakhmi C. Jain Ramesh Chandra Poonia Manisha Sharma (Author)

Ksh 20,700.00
Format :

Format(s): DRM PDF DRM EPUB

ISBN-13: 9780128190623

Publisher: Elsevier Science

Imprint: Academic Press

Publication Date: January 14th, 2020

Country of Publication: US

Language: English

Pages: 367

Physical Edition EAN: 9780128190616

Category: Biomedical engineering , Biotechnology

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  • Author Bio

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. 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

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