Predictive intelligence in biomedical and health informatics / edited by Rajshree Srivastava [and three other].

Format:

Book

Contributor:

Srivastava, Rajshree, editor.

Series:

Intelligent biomedical data analysis ; Volume 2.

Intelligent biomedical data analysis ; Volume 2

Language:

English

Subjects (All):

Artificial intelligence--Medical applications.

Artificial intelligence.

Physical Description:

1 online resource (xiv, 166 pages)

Place of Publication:

Berlin ; Boston : De Gruyter, [2020]

Language Note:

In English.

Summary:

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.

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

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

3-11-067612-5

OCLC:

1202476617