Machine Learning in Healthcare Informatics

Sumeet Dua, U. Rajendra Acharya, Prerna Dua (Herausgeber)

Buch | Softcover

XII, 332 Seiten

2016 | Softcover reprint of the original 1st ed. 2014
Springer Berlin (Verlag)
978-3-662-50763-6 (ISBN)

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Providing a unique and integrated compendium of both current and emerging machine-learning paradigms in the vital field of health informatics, this work by leading experts reflects the diversity and complexity of this multi-disciplinary area of research.

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.

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.

Erscheinungsdatum	15.09.2016
Reihe/Serie	Intelligent Systems Reference Library
Zusatzinfo	XII, 332 p. 119 illus., 50 illus. in color.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	Algorithm design • Artificial Intelligence • artificial intelligence (incl. robotics) • Computational Clinical Decision Support • Computational Intelligence • Data Mining • Engineering • Healthcare informatics • Intelligent Systems • machine learning • Robotics
ISBN-10	3-662-50763-3 / 3662507633
ISBN-13	978-3-662-50763-6 / 9783662507636
Zustand	Neuware