Data mining and medical knowledge management: cases and applications

Petr Berka, Jan Rauch, Djamel Abdelkader Zighed, Petr Berka, Jan Rauch, Djamel Abdelkader Zighed1605662186, 9781605662183, 9781605662190

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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Table of contents :
Cover Page……Page 1
Title Page……Page 2
ISBN 1605662186……Page 3
Table of Contents (with page links)……Page 5
Foreword……Page 15
Preface……Page 20
Acknowledgement……Page 24
I Data, Information and Knowledge……Page 26
II Ontologies in the Health Field……Page 62
III Cost-Sensitive Learning in Medicine……Page 82
IV Classification and Prediction with Neural Networks……Page 101
V Preprocessing Perceptrons and Multivariate Decision Limits……Page 133
VI Image Registration for Biomedical Information Integration……Page 147
VII ECG Processing……Page 162
VIII EEG Data Mining Using PCA……Page 186
IX Generating and Verifying Risk Prediction Models Using Data Mining……Page 206
X Management of Medical Website Quality Labels via Web Mining……Page 231
XI Two Case-Based Systems for Explaining Exceptions in Medicine……Page 252
XII Discovering Knowledge from Local Patterns in SAGE Data……Page 276
XIII Gene Expression Mining Guided by Background Knowledge……Page 293
XIV Mining Tinnitus Database for Knowledge……Page 318
XV Gaussian-Stacking Multiclassifiers for Human Embryo Selection……Page 332
XVI Mining Tuberculosis Data……Page 357
XVII Knowledge-Based Induction of Clinical Prediction Rules……Page 375
XVIII Data Mining in Atherosclerosis Risk Factor Data……Page 401
Compilation of References……Page 423
About the Contributors……Page 451
Index (with page links)……Page 462