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Deep Learning Techniques for Biomedical and Health Informatics – PDF

eBook details

  • Authors: Basant Agarwal, Valentina E. Balas, Lakhmi C. Jain, Ramesh Chandra Poonia, Manisha Sharma
  • File Size: 36 MB
  • Format: PDF
  • Length: 625 pages
  • Publisher: Academic Press
  • Publication Date: January 14, 2020
  • Language: English
  • ASIN: B083QBPJF1
  • ISBN-10: 0128190612, 0128190620
  • ISBN-13: 9780128190616, 9780128190623

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About The Author

Basant Agarwal

Lakhmi C. Jain

Manisha Sharma

Ramesh Chandra Poonia

Valentina E. Balas

Deep Learning Techniques for Biomedical and Health Informatics (PDF) supplies readers with the state-of-the-art in deep learning-based techniques for biomedical and health informatics. This ebook covers not only the very best-carrying out techniques, it likewise provides execution techniques. The ebook consists of all the requirement approaches in every chapter so that brand-new specialists and scientists will discover it really helpful. Chapters go from standard approach to sophisticated techniques, consisting of in-depth descriptions of proposed techniques and thorough important conversations on speculative outcomes and how they are used to Electronic Health Records, Biomedical Engineering, and medical image processing.

  • Provides in-depth protection of Deep Learning for medical image processing, consisting of brain image analysis, brain growth division in MRI imaging, enhancing medical huge information, and the future of biomedical image analysis
  • Examines a large range of Deep Learning applications for Biomedical Engineering and Health Informatics, consisting of scientific choice support group, Deep Learning for drug discovery, forecast and tracking, illness medical diagnosis
  • Discusses Deep Learning used to Electronic Health Records (EHR), consisting of health information structures and management, natural language processing, deep client resemblance learning, and how to enhance scientific choice-making

NOTE: This sale only consists of the ebook Deep Learning Techniques for Biomedical and Health Informatics in PDF. No access codes consisted of.

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