Deep Learning Techniques for Biomedical and Health Informatics: 68 (Studies in Big Data)
Language: English
Published by Springer, 2020
- Softcover
- New
Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle
AbeBooks seller since November 22, 2018
Condition: New
£ 260.41
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pp. 383 1st ed. 2020 edition.
Seller Inventory # 26384695702
- Title
- Deep Learning Techniques for Biomedical and Health Informatics: 68 (Studies in Big Data)
- Author
- Sujata Dash
- Publisher
- Springer
- Publication year
- 2020
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030339688
- ISBN 13
- 9783030339685
- Series
- Book 61 of 95: Studies in Big Data
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Books Puddle
Woodside, NY, U.S.A.
AbeBooks seller since November 22, 2018
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