Studies in Big Data

Deep Learning Techniques for Biomedical and Health Informatics

Editors: Dash, S., Acharya, B.R., Mittal, M., Abraham, A., Kelemen, A. (Eds.)

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  • Presents state-of-the-art approaches for deep-learning-based biomedical and health-related applications
  • Discusses the latest advances and developments in the fields of biomedical, health informatics, and deep learning
  • Written by experts in the field
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eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-030-33966-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • Due: January 27, 2020
  • ISBN 978-3-030-33965-4
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model.

This book allows new researchers and practitioners working in the field to quickly understand the best-performing methods. It also enables them to compare different approaches and carry forward their research in an important area that has a direct impact on improving the human life and health.

It is intended for researchers, academics, industry professionals, and those at technical institutes and R&D organizations, as well as students working in the fields of machine learning, deep learning, biomedical engineering, health informatics, and related fields.

 

Table of contents (16 chapters)

Table of contents (16 chapters)

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-030-33966-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • Due: January 27, 2020
  • ISBN 978-3-030-33965-4
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Deep Learning Techniques for Biomedical and Health Informatics
Editors
  • Sujata Dash
  • Biswa Ranjan Acharya
  • Mamta Mittal
  • Ajith Abraham
  • Arpad Kelemen
Series Title
Studies in Big Data
Series Volume
68
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-33966-1
DOI
10.1007/978-3-030-33966-1
Hardcover ISBN
978-3-030-33965-4
Series ISSN
2197-6503
Edition Number
1
Number of Pages
XXV, 383
Topics