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

Hardcover

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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.

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.

ISBN: 9781605662183
ISBN-10: 1605662186
Series: Premier Reference Source
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 466
Published: 10th March 2011
Publisher: IGI Global
Dimensions (cm): 28.0 x 21.6  x 2.5
Weight (kg): 1.36