Data Mining and Medical Knowledge Management: Cases and Applications
Author:   Petr Berka ,  Jan Rauch ,  Djamel Abdelkader Zighed
Publisher:   IGI Global
ISBN:  

9781605662183


Pages:   467
Publication Date:   28 February 2009
Format:   Hardback
Availability:   In Print   Availability explained
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Data Mining and Medical Knowledge Management: Cases and Applications


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Overview

"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."

Full Product Details

Author:   Petr Berka ,  Jan Rauch ,  Djamel Abdelkader Zighed
Publisher:   IGI Global
Imprint:   Medical Information Science Reference
Dimensions:   Width: 21.60cm , Height: 2.50cm , Length: 28.00cm
Weight:   1.596kg
ISBN:  

9781605662183


ISBN 10:   1605662186
Pages:   467
Publication Date:   28 February 2009
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

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