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:
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

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505 0 |a 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. 
520 |a 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. 
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