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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제18권 제3호
- 발행연도
- 2016.1
- 수록면
- 1,207 - 1,215 (9page)
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초록· 키워드
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This paper investigates a probabilistic causation problem that causes increase the probabilities of their effects on a suitable probabilistic model. A Bayesian network is used to analyze causal relationships of questions in Korean alcoholism questionnaire survey. We made a Korean obsessive compulsive drinking scale questionnaire for college students, and collected 73 responses to 21 questions over the course of an interview with investigating personnel from three different groups of responders. To identify and justify the casual relationships among questions we built an intial Bayesian network with an expert point of view’s network structure. However, G-test analysis of the variables, survey questions, with sample data revealed several discrepancies from the initial Bayesian network regarding relationship between nodes and also introduced an isolated subgraph. Interestingly, 3 potential arcs were identified and used to construct a modified Bayesian network which best correspond to the intention of the alcoholism questionnaire. Future works will assess the significance of these potential arcs with larger data sets and investigate whether revision of the alcoholism questionnaire is necessary for better diagnosis.
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참고문헌 (19)
참고문헌 신청
Alvarez-Galvez, J. / 2016 / Discovering complex interrelationships between socioeconomic status and health in Europe : a case study applying Bayesian networks / Social Science Research 56:133~143
Barber, D. / 2015 / Bayesian Reasoning and Machine Learning / Cambridge University Press
Constantinou, A. C. / 2016 / From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support / Artificial Intelligence in Medicine 67:75~93
Diels, J. / 2015 / Bayesian network meta-analysis to assess relative efficacy of ibrutinib versus idelalisib+ofatumumab and physician’s choice in relapsed/refractory Cll patients / Value in Health 18:335~766
Haeussler, K. / 2015 / Cost-effectiveness analysis of universal human papillomavirus vaccination using a dynamic Bayesian methodology : the best II study / Value in Health 18:956~968
Barber, D. / 2015 / Bayesian Reasoning and Machine Learning / Cambridge University Press
Constantinou, A. C. / 2016 / From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support / Artificial Intelligence in Medicine 67:75~93
Diels, J. / 2015 / Bayesian network meta-analysis to assess relative efficacy of ibrutinib versus idelalisib+ofatumumab and physician’s choice in relapsed/refractory Cll patients / Value in Health 18:335~766
Haeussler, K. / 2015 / Cost-effectiveness analysis of universal human papillomavirus vaccination using a dynamic Bayesian methodology : the best II study / Value in Health 18:956~968
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