Deep Learning in Biomedical and Health Informatics | Current Applications and Possibilities

M. A. Jabbar (u. a.)

ISBN 10: 0367726041 / ISBN 13: 9780367726041

Published by CRC Press, 2021

About this Item

Deep Learning in Biomedical and Health Informatics | Current Applications and Possibilities | M. A. Jabbar (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2021 | CRC Press | EAN 9780367726041 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 128511821

Bibliographic Details

• Title: Deep Learning in Biomedical and Health Informatics | Current Applications and Possibilities
• Publisher: CRC Press
• Publication Date: 2021
• Language: English
• ISBN 10: 0367726041
• ISBN 13: 9780367726041
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 17D millimeters 240 millimeters width by 161 millimeters height by 17 millimeters depth
• Weight: 508 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a comprehensive review of research applying deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing, and highlights various challenges in applying deep learning in health care. This book also includes applications and case studies across all areas of AI in healthcare data. The editors also aim to provide new theories, techniques, developments, and applications of deep learning, and to solve emerging problems in healthcare and other domains. This book is intended for computer scientists, biomedical engineers, and healthcare professionals researching and developing deep learning techniques.

In short, the volume :

• Discusses the relationship between AI and healthcare, and how AI is changing the health care industry.
• Considers uses of deep learning in diagnosis and prediction of disease spread.
• Presents a comprehensive review of research applying deep learning in health informatics across multiple fields.
• Highlights challenges in applying deep learning in the field.
• Promotes research in ddeep llearning application in understanding the biomedical process.

Dr.. M.A. Jabbar is a professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India.

Prof. (Dr.) Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA.

Dr.. Onur Dogan is an assistant professor at İzmir Bakırçay University, Turkey.

Prof. Dr. Ana Madureira is the Director of The Interdisciplinary Studies Research Center at Instituto Superior de Engenharia do Porto (ISEP), Portugal.

Dr.. Sanju Tiwari is a senior researcher at Universidad Autonoma de Tamaulipas, Mexico.

About the Author

Dr. M. A. JABBAR is a Professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India.

Dr Ajith Abraham is the Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing and a Distinguished Lecturer of IEEE Computer Society representing Europe (2011-2013).

Dr. Onur Dogan is an assistant professor at Izmir Bakircay University.

Dr Ana Madureira has a PhD degree in Production and Systems from University of Minho, Portugal.

Dr. Sanju Tiwari is a Senior Researcher at Universidad Autonoma de Tamaulipas, Mexico.