Extraction of biomedical traits for patients with Amyotrophic Lateral Sclerosis using parallel and hierarchical classifiers. (27th December 2010)

• Record Type: Journal Article
• Authors: Jóźwik, Adam; Sokołowska, Beata; Niebroj-Dobosz, Irena; Janik, Piotr; Kwieciński, Hubert
• Is Part Of: International journal of biometrics. Volume 3:Number 1(2011)
• Page Start: 85
• Page End: 94
• Publication Date: 2010-12-27
• Subjects: pattern recognition -- parallel classifier -- hierarchical classifier -- k-NN rule -- biometrics -- amyotrophic lateral sclerosis -- erythropoietin; Biometric identification -- Periodicals; Biometry -- Periodicals; 570.15195
• Languages: English
• ISSNs: 1755-8301

Abstract

This paper concerns the analysis and interpretation of results obtained from biomedical experiments. The biomedical approach allows differentiating patients by testing their EPO concentration in serum and cerebrospinal fluids. The diagnostic tests can be applied in patient monitoring, or future therapeutic research. The paper presents the possibility of recognition of the clinical status of patients with Amyotrophic Lateral Sclerosis (ALS) by the use of parallel and hierarchical classifiers. The proposed method can be used in biometric identification of ALS patients. The results demonstrate that the pattern recognition methods may be helpful in evaluation of the clinical progress of ALS.