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Predictive Factors of Social Functioning in Patients with Schizophrenia: Exploration for the Best Combination of Variables Using Data Miningopen access

Authors
Bae, Sung-ManLee, Seung-HwanPark, Young-MinHyun, Myung-HoYoon, Hiejin
Issue Date
Jun-2010
Publisher
KOREAN NEUROPSYCHIATRIC ASSOC
Keywords
Social functioning; Schizophrenia; Data mining; Neurocognition; Social cognition
Citation
PSYCHIATRY INVESTIGATION, v.7, no.2, pp 93 - 101
Pages
9
Journal Title
PSYCHIATRY INVESTIGATION
Volume
7
Number
2
Start Page
93
End Page
101
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/22396
DOI
10.4306/pi.2010.7.2.93
ISSN
1738-3684
1976-3026
Abstract
Objective This study aimed to use data mining to explore the significantly contributing variables to good social functioning in schizophrenia patients. Methods The study cohort comprised 67 schizophrenia patients on stable medication. A total of 51 variables (6 demographic data 3 illness history, 22 social cognition, 16 neurocognition, 4 psychiatric symptoms) were input into a data-mining decision tree using the Answer Tree program to find the pathway for the best social functioning. Results Several contributing factors for good social functioning were found. Continuous attention was the strongest contributing factor. Three variables involving best social functioning included good continuous attention, good theory of mind (TOM), and low sensitivity of disgust: emotion. Conclusion Our results confirmed the mediating roles of social cognition between neurocognition and functional outcomes, and suggested that social cognition can significantly predict social functioning in schizophrenia patients: Psychiatry Investig 2010;7:93-101
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