Deep Learning Techniques for Biomedical and Health Informatics

Download Deep Learning Techniques for Biomedical and Health Informatics written by Basant Agarwal, Valentina E. Balas, Lakhmi C. Jain, Ramesh Chandra Poonia, Manisha Sharma in PDF format. This book is under the category Health and bearing the isbn/isbn13 number 0128190612; 0128190620/9780128190616/ 9780128190623. You may reffer the table below for additional details of the book.

$19.99

SKU: 92a0e7a415d6 Category: Tags: ,

Specifications

book-author

Basant Agarwal, Valentina E. Balas, Lakhmi C. Jain, Ramesh Chandra Poonia, Manisha Sharma

publisher

Academic Press

file-type

PDF

pages

625 pages

language

English

asin

B083QBPJF1

isbn10

0128190612; 0128190620

isbn13

9780128190616/ 9780128190623


Book Description

Readers of the Deep Learning Techniques for Biomedical and Health Informatics (PDF) will gain an understanding of the most recent advancements that have been made in the field of deep learning-based methods for biomedical and health informatics. Not only does this ebook discuss the most effective ways, but it also gives methods for putting those methods into practice. This e-book incorporates all of the necessary procedures into each individual chapter, making it a very valuable resource for both novice practitioners and scholars. The chapters progress from the most fundamental methodology to the most advanced methodologies, including comprehensive critical discussions on experimental results and detailed descriptions of proposed approaches, as well as how these can be applied to electronic health records, biomedical engineering, and medical image processing.

 

  • Covers Deep Learning in medical image processing in great detail, including analysis of the brain and brain tumors using MRI, as well as optimizing medical large data and discussing the future of biomedical image analysis.

 

  • Explores a diverse range of applications of Deep Learning in the fields of Biomedical Engineering and Health Informatics, including clinical decision support systems, Deep Learning for drug discovery, prediction and monitoring, and illness detection.

 

  • The application of Deep Learning to Electronic Health Records (EHR) is discussed, along with related topics such as health data formats and management, natural language processing, deep patient similarity learning, and ways to improve clinical decision-making.

 

PLEASE TAKE NOTE That the only thing included in this transaction is the PDF version of the ebook Deep Learning Techniques for Biomedical and Health Informatics. There are no access codes provided.

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