Machine Learning in Healthcare Informatics

by Sumeet Dua, U. Rajendra Acharya, Prerna Dua

Overview

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

ISBN-13:	9783642400162
Publisher:	Springer Berlin Heidelberg
Publication date:	12/09/2013
Series:	Intelligent Systems Reference Library , #56
Edition description:	2014
Pages:	332
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table 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.