Machine Learning in Healthcare Informatics
Published on 3. September 2016
Book
Paperback/Softback
XII, 332 pages
978-3-662-50763-6 (ISBN)
Description
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.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2014
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Illustrations
50 farbige Abbildungen, 69 s/w Abbildungen
XII, 332 p. 119 illus., 50 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
522 gr
ISBN-13
978-3-662-50763-6 (9783662507636)
DOI
10.1007/978-3-642-40017-9
Schweitzer Classification
Other editions
Additional editions
Sumeet Dua | U. Rajendra Acharya | Prerna Dua
Machine Learning in Healthcare Informatics
Book
12/2013
Springer
€106.99
Shipment within 7-9 days
Content
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.