Predictive Intelligence in Biomedical and Health Informatics

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Predictive Intelligence in Biomedical and Health Informatics

Edited by: , , and

Language: English

Published/Copyright: 2020

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This book is in the series

Volume 2 | Intelligent Biomedical Data Analysis

About this book

Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.

Author / Editor information

R. Srivastava, DIT Univ., A. Khanna, Agrasen Institute, S.Bhattacharyya, RCC Institute, India; N. Nhu, Duy Tan Univ., Vietnam.

Topics

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Frontmatter
I

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Preface
VII

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Contents
XI

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List of contributors
XIII

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1. Smart connected devices reforming the healthcare sector
1
Prabhsimar Kaur, Vishal Bharti and Srabanti Maji

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2. An ample review on brain image classification for Alzheimer’s disease
27
K. H. Vijaya Kumari and Soubhagya Sankar Barpanda

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3. Innovations in biological applications with machine learning
49
Shweta Paliwal, Vishal Bharti and Siddharth Singh

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4. Wavelet applications in medical image processing
63
N. Krishna Santosh and Soubhagya Sankar Barpanda

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5. Nanomedicine strategies: a precise therapeutic approach for disease
91
Siddharth Singh, N. V. Satheesh Madhav, Harish Chandra and Sharad Visht

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6. Optimal placement of body node coordinator in wireless body area network using genetic algorithm
117
Sweta Jain, D. Kumari and Pruthviraj Choudhari

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7. Drug discovery
131
Faisal Rehman, Siddharth Singh, Sharad Visht and Usha Singh

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8. Smart health care service evolution with Internet of things
145
S. Porkodi and D. Kesavaraja

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Index
165

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Publishing information

Pages and Images/Illustrations in book

eBook published on:

October 12, 2020

eBook ISBN:

9783110676129

Hardcover published on:

October 12, 2020

Hardcover ISBN:

9783110676082

Pages and Images/Illustrations in book

Front matter:

14

Main content:

166

Illustrations:

64

Tables:

7

https://doi.org/10.1515/9783110676129

eBook ISBN: 9783110676129

Hardcover ISBN: 9783110676082

Keywords for this book

Algorithmus; Big Data; Künstliche Intelligenz; Maschinelles Lernen

Audience(s) for this book

Graduate students, academics, practitioners, researchers, computer scientists, electrical and medical engineers.

Safety & product resources

Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com

Predictive Intelligence in Biomedical and Health Informatics

Overview

About this book

Author / Editor information

Topics

Table of contents

Frontmatter

Preface

Contents

List of contributors

1. Smart connected devices reforming the healthcare sector

2. An ample review on brain image classification for Alzheimer’s disease

3. Innovations in biological applications with machine learning

4. Wavelet applications in medical image processing

5. Nanomedicine strategies: a precise therapeutic approach for disease

6. Optimal placement of body node coordinator in wireless body area network using genetic algorithm

7. Drug discovery

8. Smart health care service evolution with Internet of things

Index

Bibliographic data