Machine Learning in Healthcare Informatics electronic resource edited by Sumeet Dua, U. Rajendra Acharya, Prerna Dua.
Material type: TextSeries: Intelligent Systems Reference LibraryPublication details: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Description: XII, 332 p. 119 illus., 50 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642400179Subject(s): engineering | Artificial intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics)DDC classification: 006.3 LOC classification: Q342Online resources: Click here to access onlineFrom 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.
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.
There are no comments on this title.