"This book presents 20 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 EEG and ECG data, and methods related to mining in genetic data"--Provided by publisher.
Berka (University of Economics, Czech Republic) collects case studies in which advanced data mining and knowledge management solutions are used in biomedical research. Material in the first section, on theoretical aspects, discusses basic notions of data mining and knowledge management with respect to medicine. The second section presents general applications in areas such as biomedical image registration and fusion, biomedical signal processing, and quality assessment of medical web sites. The third section of the book presents the results of several case studies of data mining applied to various specific medical problems, such as gene expression mining, Gaussian- stacking multiclassifiers for human embryo selection, and data mining in atherosclerosis risk factor data. The book will be of interest to researchers and students in computer science and medicine, and to physicians and managers in the healthcare industry. Medical Information Science Reference is an imprint of IGI Global. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)
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