Data mining and medical knowledge management : cases and applications / Petr Berka, Jan Rauch, and Djamel Abdelkader Zighed.
Material type:
- 9781605662183 (hardcover)
- 610.0285 23 B512
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 610.0285 B512 (Browse shelf(Opens below)) | Available | C26281 |
Includes bibliographical references and index.
Chapter I Data, information and knowledge--
Chapter II Ontologies in the health field--
Chapter III Cost-sensitive learning in medicine--
Chapter IV Classification and prediction with neural networks--
Chapter V Preprocessing perceptrons and multivariate decision limits--
Chapter VI Image registration for biomedical information integration--
Chapter VII ECG processing--
Chapter VIII EEG data mining using PCA--
Chapter IX Generating and verifying risk prediction models using data mining--
Chapter X Management of medical website quality labels via Web mining--
Chapter XI Two case-based systems for explaining exceptions in medicine--
Chapter XII Discovering knowledge from local patterns in SAGE data--
Chapter XIII Gene expression mining guided by background knowledge--
Chapter XIV Mining tinnitus database for knowledge--
Chapter XV Gaussian-stacking multiclassifiers for human embryo selection--
Chapter XVI Mining tuberculosis data--
Chapter XVII Knowledge-based induction of clinical prediction rules--
Chapter XVIII Data mining in atherosclerosis risk factor data--
Compilation of References--
About the Contributors--
Index.
"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.
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