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Pattern recognition approach to differentiation of disease severity in patients with amyotrophic lateral sclerosis

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A possibility of recognition of the clinical status of patients with amyotrophic lateral sclerosis (ALS) in relation to severity of the disease was investigated. Three groups: (i) healthy controls (n=15) and two subgroups of ALS patients (ii) mild (n=15) and (iii) severe (n=15) were considered as classes. Four features of the subjects: (i) their age (AGE) (ii) erythropoietin concentration in serum (SERUM), (iii) in cerebrospinal fluid (CSF), and (iv) duration time of the disease (Tdis) were used for classifier construction based on the k Nearest Neighbours (k-NN) rule, known from pattern recognition theory. The presented results demonstrate that the pattern recognition approach may be useful for the evaluation of the severity of the ALS disease.
Rocznik
Tom
Strony
143--147
Opis fizyczny
Bibliogr. 11 poz., rys., tab.
Twórcy
autor
  • Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland
autor
Bibliografia
  • [1] BRETTSCHNEIDER J., WIDL K., SCHATTAUER D. et al., Cerebrospinal fluid erythropoietin (EPO) in amyotrophic lateral sclerosis, Neuroscience Letters, Vol. 416, pp.257-260, 2007.
  • [2] BUEMI M., CAVALLARO E., FLOCCARI F. et al., Erythropoietin and the brain: from neurodevelopment to neuroprotection, Clinical Science, Vol. 103, pp.275-282, 2002.
  • [3] CHUNG Y.H., JOO K.M., LEE W.B. et al., Enhanced expression of erythropoietin in the central nervous system of SOD1G93A transgenic mice, Brain Research, Vol. 1016, pp.272-280, 2004.
  • [4] COZZOLINO M., FERRI A., CARRI M.T., Amyotrophic Lateral Sclerosis: From current developments in the Laboratory to Clinical Implications, Antioxidants & Redox Signaling, Vol. 10, No. 3, pp.405-443, 2008.
  • [5] DEVIJVER P.A., KITTLER J., Pattern Recognition: A Statistical Approach. Prentice Hall, London, 1982.
  • [6] DUDA R.O., HART P.E., STOCK D.G., Pattern Classification. John Wiley and Sons, New York, 2001.
  • [7] FIX E., HODGES J.L., Discriminatory Analysis: Nonparametric Discrimination Small Sample Performance, project 21-49-004, Report Number 11, USAF School of Aviation Medicine, Randolph Field, Texas, pp. 280-322, 1952, reprinted in the book: Dasarathy BV “NN Pattern Classification Techniques” pp. 40-56, IEEE Computer Society Press, 1991.
  • [8] GRUNFELD J.F., BARHUM Y., BLODHEIM N. et al., Erythroietin delays disease onset in an amyothropic lateral sclerosis model, Experimental Neurology, Vol. 204, pp.260-263, 2007.
  • [9] JANIK P., KWIECIŃSKI H., NIEBROJ-DOBOSZ I., Erythropoietin concentration in serum and cerebrospinal fluid of patients with amyotropic lateral sclerosis (ALS), in press.
  • [10] ROWLAND L.P., SHNEIDER N.A., Amyotrophic Lateral Sclerosis, New England Journal of Medicine, Vol. 344, No. 22, pp.1688-1700, 2001.
  • [11] WIDL K., BRETTSCHNEIDER J., SCHATTAUER D. et al., Erythropoietin in cerebrospinal fluid: Age-related reference values and relevance in neurological disease, Neurochemical Research, Vol.32, pp.1163-1168, 2007.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0006-0020
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