Machine Learning in Healthcare Informatics
(Sprache: Englisch)
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.
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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.
Klappentext zu „Machine Learning in Healthcare Informatics “
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. Inhaltsverzeichnis zu „Machine Learning in Healthcare Informatics “
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.
Bibliographische Angaben
- 2014, Repr. d. Ausg. v. 2013, XII, 332 Seiten, 50 farbige Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Sumeet Dua, U. Rajendra Acharya, Prerna Dua
- Verlag: Springer, Berlin
- ISBN-10: 3642400167
- ISBN-13: 9783642400162
- Erscheinungsdatum: 27.12.2013
Sprache:
Englisch
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