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Data Mining for Biomarker Discovery

Overview of attention for book
Cover of 'Data Mining for Biomarker Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Data Mining Strategies Applied in Brain Injury Models
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    Chapter 2 Application of Decomposition Methods in the Filtering of Event-Related Potentials
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    Chapter 3 EEG Features as Biomarkers for Discrimination of Preictal States
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    Chapter 4 Using Relative Power Asymmetry as a Biomarker for Classifying Psychogenic Nonepileptic Seizure and Complex Partial Seizure Patients
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    Chapter 5 Classification of Tree and Network Topology Structures in Medical Images
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    Chapter 6 A Framework for Multimodal Imaging Biomarker Extraction with Application to Brain MRI
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    Chapter 7 A Statistical Diagnostic Decision Support Tool Using Magnetic Resonance Spectroscopy Data
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    Chapter 8 Data Mining for Cancer Biomarkers with Raman Spectroscopy
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    Chapter 9 Nonlinear Recognition Methods for Oncological Pathologies
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    Chapter 10 Studying Connectivity Properties in Human Protein–Protein Interaction Network in Cancer Pathway
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    Chapter 11 Modelling of Oral Cancer Progression Using Dynamic Bayesian Networks
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    Chapter 12 Neuromuscular Alterations of Upper Airway Muscles in Patients with OSAS: Radiological and Histopathological Findings
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    Chapter 13 Data Mining System Applied to Population Databases for Studies on Lung Cancer
Attention for Chapter 4: Using Relative Power Asymmetry as a Biomarker for Classifying Psychogenic Nonepileptic Seizure and Complex Partial Seizure Patients
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Citations

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Chapter title
Using Relative Power Asymmetry as a Biomarker for Classifying Psychogenic Nonepileptic Seizure and Complex Partial Seizure Patients
Chapter number 4
Book title
Data Mining for Biomarker Discovery
Published by
Springer, Boston, MA, January 2012
DOI 10.1007/978-1-4614-2107-8_4
Book ISBNs
978-1-4614-2106-1, 978-1-4614-2107-8
Authors

Jui-Hong Chien, Deng-Shan Shiau, J. Chris Sackellares, Jonathan J. Halford, Kevin M. Kelly, Panos M. Pardalos

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 64%
Researcher 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Unspecified 7 64%
Neuroscience 2 18%
Unknown 2 18%

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