Machine Learning in Healthcare Informatics

Herausgegeben:Dua, Sumeet; Acharya, U. Rajendra; Dua, Prerna

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Intelligent Systems Reference Library 56
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 80044110, 978-3-642-40016-2
• Repr. d. Ausg. v. 2013
• Seitenzahl: 344
• Erscheinungstermin: 27. Dezember 2013
• Englisch
• Abmessung: 241mm x 160mm x 25mm
• Gewicht: 662g
• ISBN-13: 9783642400162
• ISBN-10: 3642400167
• Artikelnr.: 39193359

Inhaltsangabe

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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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.