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

Extraction of biomedical traits for patients with Amyotrophic Lateral Sclerosis using parallel... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Biometrics Inderscience Publishers

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

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1755-8301
eISSN
1755-831X
DOI
10.1504/IJBM.2011.037716
Publisher site
See Article on Publisher Site

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.

Journal

International Journal of BiometricsInderscience Publishers

Published: Jan 1, 2011

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