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Title Transcription
ジレイ ロンブン キジュツ オ モチイタ テキスト マイニング ニヨル バメン カンモクショウ ノ カイゼン オ ソクシン スル シンリ シャカイテキ ヨウイン ノ ケントウ
Title Alternative
Factors influencing improvement in individuals with selective mutism: Effectiveness of hierarchical cluster analysis using text mining techniques
Authors
Yamanaka, Tomohisa Clinical Psychology, Graduate School of Medical Science , Tottori University
Inoue, Masahiko Department of Clinical Psychology, Graduate School of Medical Science , Tottori University Researchers DB KAKEN
Keywords
selective mutism
psycho-social factor
cluster analysis
Abstract
This study investigated the factors that facilitate improvement in people with selective mutism. We carried out a hierarchical cluster analysis using text mining techniques on 35 case papers dealing with selective mutism. Six clusters were found to promote the improvement of the disorder. Of the six clusters, two were psychological factors, and the remaining four were considered social factors. The results indicate that interventions for psychological factors and environmental adjustments for social factors are needed to promote improvement in patients with selective mutism. It is also suggested that educational support programs be provided for teachers and parents of people with selective mutism. The results demonstrate the effectiveness of a hierarchical cluster analysis to extract new factors for aiding improvement in people with disorders in studies employing the psychosocial approach.
Publisher
米子医学会
Content Type
Journal Article
ISSN
00440558
NCID
AN00247383
Journal Title
米子医学雑誌
Current Journal Title
The Journal of the Yonago Medical Association
Volume
72
Issue
5-7
Start Page
54
End Page
62
Published Date
2021-11-30
Text Version
Publisher
Citation
山中 智央, 井上 雅彦. 事例論文記述を用いたテキストマイニングによる場面緘黙症の改善を促進する心理社会的要因の検討. 米子医学雑誌. 2021, 72(5-7), 54-62.
Department
Faculty of Medicine/Graduate School of Medical Sciences/University Hospital
Language
Japanese