Data Mining in Clinical Medicine
Editors: Llatas, Carlos Fernández, García-Gómez, Juan Miguel (Eds.)
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- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
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- About this book
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This volume complies a set of Data Mining techniques and new applications in real biomedical scenarios. Chapters focus on innovative data mining techniques, biomedical datasets and streams analysis, and real applications. Written in the highly successful Methods in Molecular Biology series format, chapters are thought to show to Medical Doctors and Engineers the new trends and techniques that are being applied to Clinical Medicine with the arrival of new Information and Communication technologies
Authoritative and practical, Data Mining in Clinical Medicine seeks to aid scientists with new approaches and trends in the field.
- Table of contents (16 chapters)
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Actigraphy Pattern Analysis for Outpatient Monitoring
Pages 3-17
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Definition of Loss Functions for Learning from Imbalanced Data to Minimize Evaluation Metrics
Pages 19-37
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Audit Method Suited for DSS in Clinical Environment
Pages 39-56
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Incremental Logistic Regression for Customizing Automatic Diagnostic Models
Pages 57-78
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Using Process Mining for Automatic Support of Clinical Pathways Design
Pages 79-88
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Table of contents (16 chapters)
- Download Preface 1 PDF (95.6 KB)
- Download Sample pages 1 PDF (983.2 KB)
- Download Table of contents PDF (93.1 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Data Mining in Clinical Medicine
- Editors
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- Carlos Fernández Llatas
- Juan Miguel García-Gómez
- Series Title
- Methods in Molecular Biology
- Series Volume
- 1246
- Copyright
- 2015
- Publisher
- Humana Press
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4939-1985-7
- DOI
- 10.1007/978-1-4939-1985-7
- Hardcover ISBN
- 978-1-4939-1984-0
- Softcover ISBN
- 978-1-4939-5474-2
- Series ISSN
- 1064-3745
- Edition Number
- 1
- Number of Pages
- XII, 270
- Number of Illustrations
- 10 b/w illustrations, 82 illustrations in colour
- Topics
