Title: Extraction of biomedical traits for patients with Amyotrophic Lateral Sclerosis using parallel and hierarchical classifiers

Authors: Adam Jozwik, Beata Sokolowska, Irena Niebroj-Dobosz, Piotr Janik, Hubert Kwiecinski

Addresses: Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Trojdena 4, 02-109 Warsaw, Poland; Department of Theoretical Physics II, University of Lodz, Pomorska 149/153, 90-236 Lodz, Poland. ' Department of Molecular Biology, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawinskiego 5a, 02-106 Warsaw, Poland. ' Neuromuscular Unit, Mossakowski Medical Research Centre, Polish Academy of Sciences, Pawinskiego 5, 02-106 Warsaw, Poland. ' Department of Neurology, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland. ' Department of Neurology, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland

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.

Keywords: pattern recognition; parallel classifiers; hierarchical classifiers; k-NN rule; biometrics; amyotrophic lateral sclerosis; ALS; erythropoietin; EPO; biomedical traits; serum; cerebrospinal fluids; patient monitoring; biometrics.

DOI: 10.1504/IJBM.2011.037716

International Journal of Biometrics, 2011 Vol.3 No.1, pp.85 - 94

Published online: 25 Dec 2010 *

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