| Description |
electronic texts (xxiii, 440 pages : illustrations) : digital files |
| Contents |
1. Data, information and knowledge / Jana Zvárová, Arnošt Veselý -- 2. Ontologies in the health field / Michel Simonet, Radja Messai, Gayo Diallo -- 3. Cost-sensitive learning in medicine / Alberto Freitas, Pavel Brazdil, Altamiro Costa-Pereira -- 4. Classification and prediction with neural networks / Arnošt Veselý -- 5. Preprocessing perceptrons and multivariate decision limits / Patrik Eklund, Lena Kallin Westin -- 6. Image registration for biomedical information integration / Xiu Wang, Dagan Feng -- 7. ECG processing / Lenka Lhotská, Václav Chudácek, Michal Huptych -- 8. EEG data mining using PCA / Lenka Lhotská, Vladimír Krajca, Jitka Mohylová, Svojmil Petránek, Václav Gerla -- 9. Generating and verifying risk prediction models using data mining / Darryl Davis, Thuy Nguyen -- 10. Management of medical website quality labels via web mining / Vangelis Karkaletsis, Konstantinos Stamatakis, Pythagoras Karampiperis, Martin Labská, Marek Růžička, Vojtěch Svátek, Enrique Amigó Cabrera, Matti Pöllä, Miquel Angel Mayer, Dagmar Villarroel Gonzales -- 11. Two case-based systems for explaining exceptions in medicine / Rainer Schmidt -- 12. Discovering knowledge from local patterns in SAGE data / Bruno Crémilleux, Arnaud Soulet, Jiři Kléma, Céline Hébert, Olivier Gandrillon -- 13. Gene expression mining guided by background knowledge / Jiři Kléma, Filip Železný, Igor Trajkovski, Filip Karel, Bruno Crémilleux, Jakob Tolar |
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14. Mining tinnitus database for knowledge / Pamela Thompson, Xin Zhang, Wenxin Jiang, Zbigniew Ras, Pawel Jastreboff -- 15. Gaussian-stacking multiclassifiers for human embryo selection / Dinora Morales, Endika Bengoetxea, Pedro Larrañaga -- 16. Mining tuberculosis data / Marisa Sánchez, Sonia Uremovich, Pablo Acrogliano -- 17. Knowledge-based induction of clinical prediction rules / Mila Kwiatkowska, M. Atkins, Les Matthews, Najib Ayas, C. Ryan -- 18. Data mining in atherosclerosis risk factor data / Petr Berka, Jan Rauch, Marie Tomečková |
| Summary |
This book 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 |
| Analysis |
Classification and prediction with neural networks |
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Clinical prediction rules |
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Cost-sensitive learning in medicine |
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ECG processing |
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EEG data mining using PCA |
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Gene expression mining |
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Human embryo selection |
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Image registration for biomedical information integration |
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Medical knowledge management |
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Medical Web site management |
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Mining tuberculosis data |
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Ontologies in the health field |
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Preprocessing perceptrons and multivariate decision limits |
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Risk prediction models using data mining |
| Notes |
Title from PDF title page (viewed June 5, 2010) |
| Bibliography |
Includes bibliographical references (pages 398-425) and index |
| Notes |
Also available in print |
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Mode of access: Internet |
| Subject |
Medicine -- Data processing -- Case studies
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Data mining -- Case studies
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Risk assessment.
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Medical Informatics -- methods
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Computational Biology -- methods
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Information Storage and Retrieval -- methods
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Risk Assessment
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risk assessment.
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Risk assessment
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Data mining
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Medicine -- Data processing
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| Genre/Form |
Case studies
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Case studies.
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Études de cas.
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| Form |
Electronic book
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| Author |
Berka, Petr
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Rauch, Jan
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Zighed, Djamel A., 1955-
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IGI Global
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| LC no. |
2008028366 |
| ISBN |
9781605662190 |
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1605662194 |
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