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

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Artificial Intelligence and Soft Computing (ICAISC 2017)

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

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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.

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Authors and 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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Corresponding author

Correspondence to Piotr Prokopowicz .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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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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  • Online ISBN: 978-3-319-59063-9

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