首页 | 本学科首页   官方微博 | 高级检索  
     


Classification of sporadic Creutzfeldt-Jakob disease based on clinical and neuropathological characteristics
Authors:José Cortiñas Abrahantes  Marc Aerts  Bart van Everbroeck  Claude Saegerman  Dirk Berkvens  Helena Geys  Koen Mintiens  Stefan Roels  Patrick Cras
Affiliation:Center for Statistics, Hasselt University, Agoralaan Gebouw D, Diepenbeek, Belgium. jose.cortinas@uhasselt.be
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.
Keywords:Boosting methods  Classification tree  Sporadic Creutzfeldt-Jakob disease
本文献已被 PubMed SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号