Machine Learning in Healthcare Informatics

Detalles Bibliográficos
Otros autores o Colaboradores:	Dua, Sumeet (ed.), Acharya, U. Rajendra (ed.), Dua, Prerna (ed.)
Formato:	Libro
Lengua:	inglés
Datos de publicación:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Series:	Intelligent Systems Reference Library, 56
Temas:	Engineering. Computational Intelligence. Artificial Intelligence (incl. Robotics).
Acceso en línea:	http://dx.doi.org/10.1007/978-3-642-40017-9
Resumen:	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.
Descripción Física:	xii, 332 p. il.
ISBN:	9783642400179
ISSN:	1868-4394 ;
DOI:	10.1007/978-3-642-40017-9

Tabla de Contenidos:

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.

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Machine Learning in Healthcare Informatics

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