Qualitative profiles of disability

被引:9
作者
Annicchiarico, R
Gibert, K
Cortes, U
Campana, F
Caltagirone, C
机构
[1] Fdn Santa Lucia, IRCCS, I-00179 Rome, Italy
[2] Univ Politecn Cataluna, Dept Stat & Operat Res, E-08028 Barcelona, Spain
[3] Univ Politecn Cataluna, Software Dept, ES-08034 Barcelona, Spain
[4] Ctr Assistenza Domiciliare, ASL, RME, I-00168 Rome, Italy
[5] Univ Roma Tor Vergata, Dept Neurol, I-00173 Rome, Italy
关键词
artificial intelligence; cluster analysis; disability profiles; functional disability; Knowledge Discovery; qualitative analysis; rehabilitation;
D O I
10.1682/JRRD.2004.02.0016
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
This study identified profiles of functional disability (FD) paralleled by increasing levels of disability. We assessed 96 subjects using the World Health Organization Disability Assessment Schedule II (WHODAS II). Clustering Based on Rules (ClBR) (a hybrid technique of Statistics and Artificial Intelligence) was used in the analysis. Four groups of subjects with different profiles of FD were ordered according to an increasing degree of disability: "Low," self-dependent subjects with no physical or emotional problems; "Intermediate I," subjects with low or moderate physical and emotional disability, with high perception of disability; "Intermediate II," subjects with moderate or severe disability concerning only physical problems related to self-dependency, without emotional problems; and "High," subjects with the highest degree of disability, both physical and emotional. The order of the four classes is paralleled by a significant difference (< 0.001) in the WHODAS II standardized global score. In this paper, a new ontology for the knowledge of FD, based on the use of ClBR, is proposed. The definition of four classes, qualitatively different and with ail increasing degree of FD, helps to appropriately place each patient in a group of individuals with a similar profile of disability and to propose standardized treatments for these groups.
引用
收藏
页码:835 / 845
页数:11
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