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

Prokopowicz, Piotr; Mikołajewski, Dariusz; Mikołajewska, Emilia; Kotlarz, Piotr

doi:10.1007/978-3-319-59063-9_64

Cited by 23 publications

(17 citation statements)

References 18 publications

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“…Assumptions and rules of the data sources that are impossible to describe with traditional mathematical models are preserved. So far, the hierarchical fuzzy systems model has proved effective in biomedical and industrial applications, which confirms the advisability of its selection for use in the present study [ 19 , 20 , 21 , 22 , 23 ]. The hierarchical modular design improves the deterioration detection and assessment procedures’ transparency, flexibility and scalability.…”

Section: Introductionsupporting

confidence: 84%

“…The proposed model develops a simplified fuzzy approach from the work of Prokopowicz and Mikołajewski [ 15 , 21 , 23 ]. It is a three-level hierarchical system based on the division into three main modules: Mental state assessment module, collecting data from PSS10 and SWLS; Burnout assessment module collecting data from MBI (in three areas: emotions, depersonalization and lack of achievement); A physical condition assessment module, collecting data from NMQ ( Table 7 ).…”

Section: Resultsmentioning

confidence: 99%

“…The final-tier system’s purpose is the aggregation of the results from the modules. Such a structure (and configuration) is the result of evolution during research conducted in the last few years and described in [ 15 , 21 , 23 ]. It is worth noting that the structure of the final-tier fuzzy system is the same as for Module 3, presented above.…”

Section: Methodsmentioning

confidence: 99%

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Intelligent System for Detecting Deterioration of Life Satisfaction as Tool for Remote Mental-Health Monitoring

Prokopowicz

Mikołajewski

Mikołajewska

2022

Sensors

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The research described in this article is a continuation of work on a computational model of quality of life (QoL) satisfaction. In the proposed approach, overall life satisfaction is aggregated to personal life satisfaction (PLUS). The model described in the article is based on well-known and commonly used clinimetric scales (e.g., in psychiatry, psychology and physiotherapy). The simultaneous use of multiple scales, and the complexity of describing the quality of life with them, require complex fuzzy computational solutions. The aim of the study is twofold: 1) To develop a fuzzy model that allows for the detection of changes in life satisfaction scores (data on the influence of the COVID-19 pandemic and the war in the neighboring country were used). 2) To develop more detailed guidelines than the existing ones for further similar research on more advanced intelligent systems with computational models which allow for sensing, detecting and evaluating the psychical state. We are concerned with developing practical solutions with higher scientific and clinical utility for both small datasets and big data to use in remote patient monitoring. Two exemplary groups of specialists at risk of occupational burnout were assessed three times at different intervals in terms of life satisfaction. The aforementioned assessment was made on Polish citizens because the specific data could be gathered: before and during the pandemic and during the war in Ukraine(a neighboring country).That has a higher potential for presenting a better analysis and reflection on the practical application of the model. A research group (physiotherapists, n = 20) and a reference group (IT professionals, n = 20) participated in the study. Four clinimetric scales were used for assessment: the Perceived Stress Scale (PSS10), the Maslach Burnout Scale (MBI), the Satisfaction with Life Scale (SWLS), and the Nordic Musculoskeletal Questionnaire (NMQ). The assessment was complemented by statistical analyses and fuzzy models based on a hierarchical fuzzy system. Although several models for understanding changes in life satisfaction scores have been previously investigated, the novelty of this study lies in the use of data from three consecutive time points for the same individuals and the way they are analyzed, based on fuzzy logic. In addition, the new hierarchical structure of the model used in the study provides flexibility and transparency in the process of remotely monitoring changes in people's mental well-being and a quick response to observed changes. The aforementioned computational approach was used for the first time.

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Section: Introductionsupporting

confidence: 84%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Intelligent System for Detecting Deterioration of Life Satisfaction as Tool for Remote Mental-Health Monitoring

Prokopowicz

Mikołajewski

Mikołajewska

2022

Sensors

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“…The limitation of our research is the number of analyzed factors and their difficult description, often expressed linguistically. The presence of imprecision and uncertainty creates the need to enrich the computational apparatus in the future with further analytical methods, particularly fuzzy logic and fractal analysis [ 14 , 15 , 16 , 17 ]. We are working on developing methodologies for automated surveys, including using the Internet of Things.…”

Section: Discussionmentioning

confidence: 99%

AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm

Rojek

Dostatni

Kopowski

et al. 2022

Sensors

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Three-dimensional (3D) printing, also known as additive manufacturing (AM), has already shown its potential in the fourth technological revolution (Industry 4.0), demonstrating remarkable applications in manufacturing, including of medical devices. The aim of this publication is to present the novel concept of support by artificial intelligence (AI) for quality control of AM of medical devices made of polymeric materials, based on the example of our own elbow exoskeleton. The methodology of the above-mentioned inspection process differs depending on the intended application of 3D printing as well as 3D scanning or reverse engineering. The use of artificial intelligence increases the versatility of this process, allowing it to be adapted to specific needs. This brings not only innovative scientific and technological solutions, but also a significant economic and social impact through faster operation, greater efficiency, and cost savings. The article also indicates the limitations and directions for the further development of the proposed solution.

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“…Na Wydziale Informatyki opracowano system medycyny prewencyjnej (rys. 3) [11] oraz systemy do analizy ruchu [12][13][14], jakości życia [15] czy wypalenia zawodowego [16][17][18][19] oparte na AI.…”

Section: Ai W Optymalizacji Programu Terapii Z Użyciem Egzoszkieletuunclassified

Artificial intelligence in the design and production of personalized 3D printed products – conclusions from the project “Things are for People”

Mikołajewski¹,

Rojek²,

Kaczmarek³

et al. 2023

Mechanik

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

Cited by 23 publications

References 18 publications

Intelligent System for Detecting Deterioration of Life Satisfaction as Tool for Remote Mental-Health Monitoring

Intelligent System for Detecting Deterioration of Life Satisfaction as Tool for Remote Mental-Health Monitoring

AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm

Artificial intelligence in the design and production of personalized 3D printed products – conclusions from the project “Things are for People”

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