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 he...

Full description

Saved in:
Bibliographic Details
Main Author: Dua, Sumeet
Corporate Authors: SpringerLink (Online service), Knovel (Firm)
Other Authors: Acharya U, Rajendra, Dua, Prerna
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Series:Intelligent systems reference library ; v. 56.
Subjects:
Online Access:Full text (Wentworth users only)
Description
Summary: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.
Physical Description:XII, 332 pages 119 illustrations, 50 illustrations in color : online resource.
ISBN:9783642400179
ISSN:1868-4394 ;
DOI:10.1007/978-3-642-40017-9