| Title of paper:
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Generalized net model for diagnosis of multiple sclerosis
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| Author(s):
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| Lyudmila Todorova
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| Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 “Acad. G. Bonchev” Str., Sofia–1113, Bulgaria
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| lpt@biomed.bas.bg
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| Valentina Ignatova
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| Clinic of Neurology at MHAT–NHH, Sofia, Bulgaria
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| L. Haralanov
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| Clinic of Neurology at MHAT–NHH, Sofia, Bulgaria
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| Presented at:
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12th IWGN, Burgas, 17 June 2012
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| Published in:
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Conference proceedings, pages 32—38
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| Download:
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 PDF (142 Kb, Info)
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| Abstract:
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Multiple sclerosis (MS) is a socially significant disease with complex etiology and pathogenesis. The diagnosis of MS is based on clinical, MRI and paraclinical criteria, but pathognomonic test for the disease is not yet detected. This makes the process of diagnosis suitable for modeling with generalized nets [1]. The present work proposes such generalized net model.
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| Keywords:
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Generalized net model, Multiple sclerosis, MacDonald criteria.
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| AMS Classification:
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68Q85.
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| References:
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- Atanassov, K., On Generalized Nets Theory. “Prof. M. Drinov” Academic Publishing House, Sofia, 2007.
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