Data Mining and Medical Knowledge Management
Cases and Applications
Published on 28. February 2009
Book
Hardback
467 pages
978-1-60566-218-3 (ISBN)
Description
The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment. Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.
More details
Language
English
Place of publication
Hershey
United States
Publishing group
IGI Global
Target group
College/higher education
Professional and scholarly
Illustrations
illustrations
Dimensions
Height: 286 mm
Width: 221 mm
Thickness: 29 mm
Weight
1423 gr
ISBN-13
978-1-60566-218-3 (9781605662183)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
Classification and prediction with neural networks; Clinical prediction rules; Cost-sensitive learning in medicine; ECG processing; EEG data mining using PCA; Gene expression mining; Human embryo selection; Image registration for biomedical information integration; Medical knowledge management; Medical website management; Mining tuberculosis data; Ontologies in the health field; Preprocessing perceptrons and multivariate decision limits; Risk prediction models using data mining.