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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/4034

Title: Classification of sporadic Creutzfeldt-Jakob disease based on clinical and neuropathological characteristics
Authors: CORTINAS ABRAHANTES, Jose
AERTS, Marc
van Everbroeck, Bart
Saegerman, Claude
Berkvens, Dirk
GEYS, Helena
Mintiens, Koen
Roels, Stefan
Cras, Patrick
Issue Date: 2007
Publisher: SPRINGER
Citation: EUROPEAN JOURNAL OF EPIDEMIOLOGY, 22(7). p. 457-465
Abstract: Creutzfeldt-Jakob disease (CJD) is a rare and fatal neurodegenerative disease of unknown cause. Patients are usually aged between 50 and 75 and typical clinical features include rapidly progressive dementia associated with myoclonus and a characteristic electroencephalographic pattern. Neuropathological examination reveals cortical spongiform change, hence the term 'spongiform encephalopathy'. Several statistical techniques were applied to classify patients with sporadic CJD (sCJD), based on clinical and neuropathological investigation. We focus on the classification of neuropathologically confirmed sCJD patients. In order to obtain a classification rule that correctly classifies this type of patients and at the same time controls the overall error rate, we apply several classification techniques, which in general, produce comparable results. The boosting method produces the best results and the variable 14-3-3 protein in cerebrospinal fluid plays the most important role in the prediction of neuropathologically confirmed sCJD.
Notes: Hasselt Univ, Ctr Stat, Diepenbeek, Belgium. Univ Antwerp, Inst Born Bunge, Antwerp, Belgium. Univ Liege, Fac Vet Med, Dept Infect & Parasit Dis Epidemiol & Risk Analys, Liege, Belgium. Inst Trop Med, Dept Anim Hlth, B-2000 Antwerp, Belgium. PRD, Johnson & Johnson, Beerse, Belgium. Vet & Agrchen Res Ctr, Brussels, Belgium. Univ Antwerp, Dept Neurol, B-2020 Antwerp, Belgium.Abrahantes, JC, Hasselt Univ, Ctr Stat, Agoralaan Gebouw D, Diepenbeek, Belgium.jose.cortinas@uhasselt.be
URI: http://hdl.handle.net/1942/4034
DOI: 10.1007/s10654-007-9146-x
ISI #: 000248762700006
ISSN: 0393-2990
Category: A1
Type: Journal Contribution
Validation: ecoom, 2008
Appears in Collections: Research publications

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