Computer-aided analysis of data from evaluation sheets of subjects with autism spectrum disorders

• Autorzy: Pancerz, K. , Derkacz, A. , Mich, O. , Gomula, J.
• Języki publikacji: EN

Abstrakty

EN

In this paper, we deal with the problem of the initial analysis of data from evaluation sheets of subjects with autism spectrum disorders (ASDs). In the research, we use an original evaluation sheet including questions about competencies grouped into 17 spheres. An initial analysis is focused on the data preprocessing step including the filtration of cases based on consistency factors. This approach enables us to obtain simpler classifiers in terms of their size (a number of nodes and leaves in decision trees and a number of classification rules).

Słowa kluczowe

EN

autism spectrum disorder; classification rules; classification trees; preprocessing

• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2016
• Tom: Vol. 12, no. 3
• Strony: 109--116
• Opis fizyczny: Bibliogr. 17 poz., rys., tab., wykr.

Twórcy

autor

Pancerz, K.

• Faculty of Mathematics and Natural Sciences, University of Rzeszow, Prof. S. Pigonia Str. 1, 35-310 Rzeszow, Poland,

autor

Derkacz, A.

• University of Management and Administration, Zamosc, Poland

autor

Mich, O.

• University of Management and Administration, Zamosc, Poland

autor

Gomula, J.

• Cardinal Stefan Wyszynski University, Warsaw, Poland

Bibliografia

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• 6. Pancerz K, Derkacz A, Gomuła J. Consistency-based preprocessing for classification of data coming from evaluation sheets of subjects with ASDs. In: Position papers of the 2015 Federated Conference on Computer Science and Information Systems, 13–16 September 2015, Lodz, Poland, 2015:63–7.
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• 14. Suraj Z. Some remarks on extensions and restrictions of information systems. In: Ziarko W, Yao Y, editors. Rough sets and current trends in computing. Ser. LNAI 2005. Berlin/Heidelberg: Springer-Verlag, 2001:204–11.
• 15. Demsar J, Curk T, Erjavec A, Gorup C, Hocevar T, Milutinovic M, et al. Orange: data mining toolbox in Python. J Mach Learn Res 2013;14:2349–53.
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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.

Identyfikatory

DOI

10.1515/bams-2016-0011