Fr. 135.00

Machine Learning in Healthcare Informatics

English · Paperback / Softback

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Description

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The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.

List of contents

From the Contents.- Introduction to Machine Learning in Healthcare Informatics.- Wavelet-Based Machine Learning Techniques for ECG Signal Analysis.- Application of Fuzzy Logic Control for Regulation of Glucose Level of Diabetic Patient.- A Study on Machine Learning in EEG Signal Analysis.

Summary

The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.

Product details

Assisted by U. Rajendra Acharya (Editor), Prerna Dua (Editor), Sumeet Dua (Editor), Rajendra Acharya (Editor), U Rajendra Acharya (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.2016
 
EAN 9783662507636
ISBN 978-3-662-50763-6
No. of pages 332
Dimensions 155 mm x 18 mm x 235 mm
Weight 523 g
Illustrations XII, 332 p. 119 illus., 50 illus. in color.
Series Intelligent Systems Reference Library
Intelligent Systems Reference Library
Subjects Natural sciences, medicine, IT, technology > Technology > General, dictionaries

B, machine learning, Artificial Intelligence, engineering, Computational Intelligence, Intelligent Systems

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