Data Mining and Medical Knowledge Management

Cases and Applications

By: Petr Berka (Editor), Jan Rauch (Editor), Djamel Abdelkader Zighed (Editor)

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Hardcover | 28 February 2009

At a Glance

Hardcover
466 Pages

Dimensions(cm)
27.94 x 21.59 x 2.54

Hardcover

$556.75

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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.

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