| A common strategy and database to compare the performance of seizure prediction algorithms. | |
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MedLine Citation:
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PMID: 20044314 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A reliable algorithm for the timely prediction of epileptic seizures would be a milestone in epilepsy research. Prediction performances have so far been determined using retrospective data assessment, leaving open the question as to whether they prove statistically significant and clinically useful under prospective conditions. To this aim, a Seizure Prediction Competition has been set up. Here, the background and the details of this competition are described. |
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Authors:
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Bjoern Schelter; Hinnerk Feldwisch-Drentrup; Jens Timmer; Jean Gotman; Andreas Schulze-Bonhage |
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Publication Detail:
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Type: Journal Article Date: 2009-12-30 |
Journal Detail:
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Title: Epilepsy & behavior : E&B Volume: 17 ISSN: 1525-5069 ISO Abbreviation: Epilepsy Behav Publication Date: 2010 Feb |
Date Detail:
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Created Date: 2010-02-15 Completed Date: 2010-05-21 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100892858 Medline TA: Epilepsy Behav Country: United States |
Other Details:
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Languages: eng Pagination: 154-6 Citation Subset: IM |
Copyright Information:
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(c) 2009 Elsevier Inc. All rights reserved. |
Affiliation:
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Center for Data Analysis and Modeling, Department of Physics, University of Freiburg, Freiburg, Germany. schelter@fdm.uni-freiburg.de |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Algorithms* Electroencephalography Female Humans Male Predictive Value of Tests Psychomotor Performance* Seizures* / diagnosis, physiopathology, prevention & control |
| Comments/Corrections | |
Comment In:
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Epilepsy Behav. 2010 Feb;17(2):153
[PMID:
20004618
]
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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