의사결정나무 모형을 이용한 주관적 음성장애 예측모형

국문 초록 (Abstract)

본 연구에서는 주관적 음성문제의 위험요인으로 구명된 주요 변수를 기반으로 주관적 음성장애를 예측할 수 있는 모형을 개발 하였다. 연구자료는 2008년도 국민건강영양조사이며, 이비인후검진을 완료한 전국의 19세 이상 지 역사회 성인 3,600명(남 1,501명, 여 2,099명)을 분석대상으로 하였다. 분석방법은 주관적 음성장애 여부를 결과변수로 성, 연령, 흡연, 음주, 교육수준, 직업, 갑상선장애, 최근 2주간 급성 및 만성질환으로 인한 통증 및 불편감을 설명변 수로 사용하였고, 예측모형은 의사결정나무 모형(Decision Tree)의 exhaustive CHAID(Chi Squared Automatic Interaction Detection) 알고리즘을 이용하였다. 주관적 음성 장애와 관련된 통계학적 분류 모형을 구축한 결과, 유의미 한 예측 변수는 연령, 교육수준, 최장 직업, 갑상선 장애, 최근 2주 동안의 신체 불편 및 통증경험 여부였다. 이 연구 의 모형을 기초로 음성장애 예방을 위해서 음성장애 고위험군에 대한 조기 관리의 필요성이 제기된다.

다국어 초록 (Multilingual Abstract)

The purpose of this study was to analyze the risk factors of self-reported voice problem. Data were from the Korea National Health and Nutritional Examination Survey 2008. Subjects were 3,600 persons (1,501 men, 2,099 women) aged 19 years and older. A prediction model was developed by the use of a exhaustive CHAID (Chi Squared Automatic Interaction Detection) algorism of decision tree model. In the decision tree analysis, pain and discomfort during the last 2 weeks, age, the longest occupation and thyroid disorders was significantly associated with self-reported voice problem. The findings of associated factors suggest potential ways of targeting counseling and prevention efforts to control self-reported voice problem.

참고문헌 (Reference)

1 변해원, "잠재적 위험요인의 탐색에 관한 단일표본분석과 복합표본분석의 비교" 한국산학기술학회 13 (13): 2251-2258, 2012

2 변해원, "성별에 따른 주관적 음성문제 인지와 관련 위험 요인" 한국음성학회 4 (4): 99-108, 2012

3 Smith, E., "Voice problems among teachers: differences in gender and teaching characteristics" 12 : 328-334, 1988

4 Roy, N., "Voice disorders in the general population: prevalence, risk factors, and occupational impact" 115 (115): 1988-1995, 2005

5 Best, S. R., "The prevalence, diagnosis, and management of voice disorders in National Ambulatory Medical Care Survey(NAMCS) cohort" 121 (121): 150-157, 2011

6 Ministry of Health and Welfare, "The korea national health and nutritional examination survey 2007-2009" Ministry of Health and Welfare 2010

7 Nam, I. C., "The importance of preoperative laryngeal examination before thyroidectomy and the usefulness of a voice questionnaire in screening" 36 (36): 303-309, 2012

8 Byeon, H., "The Risk Factor of Voice Disorder" The Korean Academy of Speech-Language Pathology and Audiology 284-286, 2011

9 Cohen, S. M., "Self-reported impact of dysphonia in a primary care population: an epidemiological study" 120 (120): 2022-2032, 1058

10 Bermúdez de Alvear, R. M., "School teachers' vocal use, risk factors, and voice disorder prevalence: guidelines to detect teachers with current voice problems" 63 : 209-215, 2011

11 Chen, S. H., "Risk factors and effects of voice problems for teachers" 24 (24): 183-192, 2010

12 Verdolini, K., "Review: occupational risks for voice problems" 26 (26): 37-46, 2001

13 Byeon, H., "Laryngeal pathologies in older Korean adults and their association with smoking and alcohol consumption" 123 (123): 429-433, 2013

14 Tan, P., "Introduction to data mining" Addison Wesley 2006

15 Miller, M. K., "Frequency and risk fators for voice problems in teachers of singing and control subjects" 9 (9): 348-362, 1995

16 Roy, N., "Epidemiology of voice disorders in the elderly: preliminary findings" 117 : 628-633, 2007

17 Herrington-Hall, B. L., "Description of laryngeal pathologies by age, sex, and occupation in a treatment-seeking sample" 53 (53): 57-64, 1988

18 Breiman, L., "Classification and Regression Trees" Wadsworth 1984

19 Cristianini, N., "An introduction to support vecter machins" Cambridge Univerity Press 2000