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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2017: Artificial Intelligence and Soft Computing pp 710–721Cite as

Fuzzy System as an Assessment Tool for Analysis of the Health-Related Quality of Life for the People After Stroke

Part of the Lecture Notes in Computer Science book series (LNAI,volume 10245)

Abstract

Stroke remains one of the leading causes of long-term disability in both developed and developing countries. Prevalence and impact of the stroke-related disability on Health-Related Quality of Life (HRQoL) as a recognized and important outcome after stroke is huge. Quick, valid and reliable assessment of the HRQoL in people after stroke constitutes a significant worldwide problem for scientists and clinicians - there are many tools, but no one fulfills all requirements or has prevailing advantages. This paper presents proposition of an evaluation of HRQoL based on the two-level hierarchical fuzzy system. It uses five clinical scores and scales as the inputs and gives in result value from the interval [0; 1]. It may constitute a useful semi-automated tool for supplementary initial assessment of patient functioning and further cyclic re-assessment for rehabilitation process and patient-centered goals of rehabilitation shaping purposes.

Keywords

  • Fuzzy system
  • Hierarchical fuzzy system
  • Linguistic modeling
  • Clinimetrics
  • Stroke rehabilitation
  • Health-Related Quality of Life

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Affiliations

  1. Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University, ul. Kopernika 1, 85-074, Bydgoszcz, Poland

    Piotr Prokopowicz, Dariusz Mikołajewski & Piotr Kotlarz

  2. Ludwik Rydygier Collegium Medicum, Department of Physiotherapy, Nicolaus Copernicus University, ul. Jagiellonska 13-15, 85-094, Bydgoszcz, Poland

    Emilia Mikołajewska

Authors
  1. Piotr Prokopowicz
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  2. Dariusz Mikołajewski
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  3. Emilia Mikołajewska
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  4. Piotr Kotlarz
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Correspondence to Piotr Prokopowicz .

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Prokopowicz, P., Mikołajewski, D., Mikołajewska, E., Kotlarz, P. (2017). Fuzzy System as an Assessment Tool for Analysis of the Health-Related Quality of Life for the People After Stroke. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10245. Springer, Cham. https://doi.org/10.1007/978-3-319-59063-9_64

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  • DOI: https://doi.org/10.1007/978-3-319-59063-9_64

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