Dua / Acharya Machine Learning in Healthcare Informatics

1. Auflage 2013
ISBN: 978-3-642-40017-9
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 56, 332 Seiten, eBook

Reihe: Intelligent Systems Reference Library

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.

Zielgruppe

Research

Autoren/Hrsg.

Dua, Sumeet

Dua, Prerna

Acharya, U. Rajendra

Inhaltsverzeichnis

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.