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Predictive Factors of Social Functioning in Patients with Schizophrenia: Exploration for the Best Combination of Variables Using Data Mining
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,...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Korean Neuropsychiatric Association
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2890874/ https://www.ncbi.nlm.nih.gov/pubmed/20577617 http://dx.doi.org/10.4306/pi.2010.7.2.93 |
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author | Bae, Sung-Man Lee, Seung-Hwan Park, Young-Min Hyun, Myung-Ho Yoon, Hiejin |
author_facet | Bae, Sung-Man Lee, Seung-Hwan Park, Young-Min Hyun, Myung-Ho Yoon, Hiejin |
author_sort | Bae, Sung-Man |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2890874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Korean Neuropsychiatric Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-28908742010-06-24 Predictive Factors of Social Functioning in Patients with Schizophrenia: Exploration for the Best Combination of Variables Using Data Mining Bae, Sung-Man Lee, Seung-Hwan Park, Young-Min Hyun, Myung-Ho Yoon, Hiejin Psychiatry Investig Original Article 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. Korean Neuropsychiatric Association 2010-06 2010-04-06 /pmc/articles/PMC2890874/ /pubmed/20577617 http://dx.doi.org/10.4306/pi.2010.7.2.93 Text en Copyright © 2010 Korean Neuropsychiatric Association http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Bae, Sung-Man Lee, Seung-Hwan Park, Young-Min Hyun, Myung-Ho Yoon, Hiejin Predictive Factors of Social Functioning in Patients with Schizophrenia: Exploration for the Best Combination of Variables Using Data Mining |
title | Predictive Factors of Social Functioning in Patients with Schizophrenia: Exploration for the Best Combination of Variables Using Data Mining |
title_full | Predictive Factors of Social Functioning in Patients with Schizophrenia: Exploration for the Best Combination of Variables Using Data Mining |
title_fullStr | Predictive Factors of Social Functioning in Patients with Schizophrenia: Exploration for the Best Combination of Variables Using Data Mining |
title_full_unstemmed | Predictive Factors of Social Functioning in Patients with Schizophrenia: Exploration for the Best Combination of Variables Using Data Mining |
title_short | Predictive Factors of Social Functioning in Patients with Schizophrenia: Exploration for the Best Combination of Variables Using Data Mining |
title_sort | predictive factors of social functioning in patients with schizophrenia: exploration for the best combination of variables using data mining |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2890874/ https://www.ncbi.nlm.nih.gov/pubmed/20577617 http://dx.doi.org/10.4306/pi.2010.7.2.93 |
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