Quality of Life Modeling at the Regional Level

2012 ◽  
pp. 163-186
Author(s):  
Jirí Krupka ◽  
Miloslava Kašparová ◽  
Pavel Jirava ◽  
Jan Mandys

The chapter presents the problem of quality of life modeling in the Czech Republic based on classification methods. It concerns a comparison of methodological approaches; in the first case the approach of the Institute of Sociology of the Academy of Sciences of the Czech Republic was used, the second case is concerning a project of the civic association Team Initiative for Local Sustainable Development. On the basis of real data sets from the institute and team initiative the authors synthesized and analyzed quality of life classification models. They used decision tree classification algorithms for generating transparent decision rules and compare the classification results of decision tree. The classifier models on the basis of C5.0, CHAID, C&RT and C5.0 boosting algorithms were proposed and analyzed. The designed classification model was created in Clementine.

Author(s):  
Jirí Krupka ◽  
Miloslava Kašparová ◽  
Pavel Jirava ◽  
Jan Mandys

The chapter presents the problem of quality of life modeling in the Czech Republic based on classification methods. It concerns a comparison of methodological approaches; in the first case the approach of the Institute of Sociology of the Academy of Sciences of the Czech Republic was used, the second case is concerning a project of the civic association Team Initiative for Local Sustainable Development. On the basis of real data sets from the institute and team initiative the authors synthesized and analyzed quality of life classification models. They used decision tree classification algorithms for generating transparent decision rules and compare the classification results of decision tree. The classifier models on the basis of C5.0, CHAID, C&RT and C5.0 boosting algorithms were proposed and analyzed. The designed classification model was created in Clementine.


1998 ◽  
Vol 13 (S4) ◽  
pp. 319s-319s
Author(s):  
E. Dragomirecká ◽  
C. Škoda

2019 ◽  
Vol 65 (5) ◽  
pp. 347-353
Author(s):  
Aneta Alexová ◽  
Anna Kågström ◽  
Petr Winkler ◽  
Lucie Kondrátová ◽  
Miroslava Janoušková

Background: Internalized stigma negatively affects lives and prognosis of individuals with psychosis. Aim: This study aimed to identify correlates of internalized stigma among individuals with psychosis in a sample of community care users in the Czech Republic. Methods: A cross-sectional study was conducted among 133 community service users with psychosis. A shortened version of the Internalized Stigma of Mental Illness (ISMI-10) scale was used alongside the 5-level EQ-5D version (EQ-5D-5L), assessing health-related quality of life. Descriptive and linear regression analyses were performed in order to determine levels of internalized stigma and its correlates. Results: High levels of internalized stigma were reported in 25% of participants. Lower internalized stigma levels were associated with better self-reported health status and being married, and higher internalized stigma with a longer period of time since initial contact with psychiatric care. Conclusion: Lower internalized stigma levels are associated with better self-reported health-related quality of life. In addition, clients having used psychiatric care for longer periods of time reported significantly higher internalized stigma levels. Therefore, authors suggest self-stigma reduction interventions based in a community setting with an emphasis on targeting clients with chronic psychosis.


2016 ◽  
Vol 35 (3) ◽  
pp. 224-239 ◽  
Author(s):  
František Murgaš ◽  
Michal Klobučník

AbstractAn important methodological question in the general discourses concerning the quality of life is scale and mutual relationship of its two dimensions. In this article, the subjective dimension is understood as well-being; data from its spatial differentiation in districts of the Czech Republic were obtained from a face-to-face interview. The objective dimension is understood from the geographical aspect as quality of a place; it is quantified by the indicators of the golden standard of quality of life. Data from its spatial differentiation in districts of the Czech Republic are secondary. The article aims to compare the data of well-being and quality of a place for all the districts, with a premise of a higher level of well-being in the districts with a higher quality of a place, and vice-versa. This would answer the question of whether the quality of a place affects well-being.


Author(s):  
Michal Ruzicka

The objective of the article is to make the reader acquainted with the quality of life in persons with behavioural impairment in professional institutes in the Czech Republic. The first part of the text aims at describing individual institutes, and the second part presents the research conducted in facilities of subsequent care for people with behavioural problems. The system of facilities for the monitored target group is rather extensive. Such facilities are regarded from various perspectives and points of view. The monitored institutes are divided in terms of the age of their clients, the scale of the problems, the services provided, etc. Also, the knowledge of valid legislation plays an important role. The following text intends to divide the target facilities based on specific criteria – which will improve orientation (at first sight) in the complicated and disorganised portfolio of institutes. It is beyond the capacity of this paper to enumerate all institutes dealing in the prevention, intervention, therapy and resocialization of persons with problems relating to behaviour, thinking, emotions, etc. The text adverts to the most significant institutes and introduces their activities in the form of practical examples (casuistry). The paper follows, above all, the current legislation and practice. The presented research focuses on describing the quality of life in persons under the programmes of subsequent care. The reason for selecting this type of institute is the fact that the participants of subsequent care programmes have experience with stays even in other types of monitored facilities.


Author(s):  
N. Tyagur ◽  
M. Hollaus

During the last ten years, mobile laser scanning (MLS) systems have become a very popular and efficient technology for capturing reality in 3D. A 3D laser scanner mounted on the top of a moving vehicle (e.g. car) allows the high precision capturing of the environment in a fast way. Mostly this technology is used in cities for capturing roads and buildings facades to create 3D city models. In our work, we used an MLS system in Moravian Karst, which is a protected nature reserve in the Eastern Part of the Czech Republic, with a steep rocky terrain covered by forests. For the 3D data collection, the Riegl VMX 450, mounted on a car, was used with integrated IMU/GNSS equipment, which provides low noise, rich and very dense 3D point clouds. <br><br> The aim of this work is to create a digital terrain model (DTM) from several MLS data sets acquired in the neighbourhood of a road. The total length of two covered areas is 3.9 and 6.1 km respectively, with an average width of 100 m. For the DTM generation, a fully automatic, robust, hierarchic approach was applied. The derivation of the DTM is based on combinations of hierarchical interpolation and robust filtering for different resolution levels. For the generation of the final DTMs, different interpolation algorithms are applied to the classified terrain points. The used parameters were determined by explorative analysis. All MLS data sets were processed with one parameter set. As a result, a high precise DTM was derived with high spatial resolution of 0.25 x 0.25 m. The quality of the DTMs was checked by geodetic measurements and visual comparison with raw point clouds. The high quality of the derived DTM can be used for analysing terrain changes and morphological structures. Finally, the derived DTM was compared with the DTM of the Czech Republic (DMR 4G) with a resolution of 5 x 5 m, which was created from airborne laser scanning data. The vertical accuracy of the derived DTMs is around 0.10 m.


2017 ◽  
Vol 7 (3) ◽  
pp. 169-175
Author(s):  
Helena Kisvetrová ◽  
Lucie Martincová ◽  
Šárka Vévodová ◽  
Jiří Vévoda

Author(s):  
Julie Poláčková ◽  
Andrea Jindrová

The paper is focused on the methodological approaches to assess subjective aspects of the quality of life in the various regions. Besides, directly measurable indicators, which may not always correspond with the quality of life of the individuals in the regions, the subjective aspects of well-being are also in the spotlight. The pilot analysis examined the answers to questions such as: Are you satisfied with the health and social services, the cost of living, safety of public spaces, affordability of housing, or your personal job situation? These answers were used for an assessment of the quality of life in the different regions of the Czech Republic. We used multivariate modeling to explicitly account for the hierarchical structure of respondents within the Czech Republic, and for understanding patterns of variation between regions. The principal component analysis (PCA) was used for the general analysis of regional differences. The overall goal of principal component analysis is to reduce the dimensionality of a data set, while simultaneously retaining the information present in the data. The differences were illustrated by cartographic visualization and by scatter plots of the first three principal components. The cluster analysis was used to discover similarities and differences of the quality of life within various regions of the Czech Republic.


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