Machine Learning in Healthcare Informatics  [electronic resource] / 
edited by Sumeet Dua, U. Rajendra Acharya, Prerna Dua. 
 - XII, 332 p. 119 illus., 50 illus. in color.  online resource. 
 - Intelligent Systems Reference Library,  56  1868-4394 ; .
 - Intelligent Systems Reference Library,  56 .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783642400179 
<br/><br/><label>Standard No.: </label>10.1007/978-3-642-40017-9  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering.<br/>Artificial intelligence.<br/>Computational intelligence.<br/>Engineering.<br/>Computational Intelligence.<br/>Artificial Intelligence (incl. Robotics).
<br/><br/><label>LC Class. No.: </label>Q342 
<br/><br/><label>Dewey Class. No.: </label>006.3