Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
권호 표지
DOI QR코드

DOI QR Code

The Prediction Model for Self-Reported Voice Problem Using a Decision Tree Model

의사결정나무 모형을 이용한 주관적 음성장애 예측모형

  • Byeon, Haewon (Dept. of Speech Language Pathology & Audiology, Speech-Language Pathology Center, Nambu University)
  • 변해원 (남부대학교 언어치료청각학과, 남부대학교 언어치료센터)
  • Received : 2013.04.30
  • Accepted : 2013.07.11
  • Published : 2013.07.31
Download PDF
⟨ Previous Next ⟩

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.

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 지역사회 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 설명변수로 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, 유의미한 예측 변수는 연령, 교육수준, 최장 직업, 갑상선 장애, 최근 2주 동안의 신체 불편 및 통증경험 여부였다. 이 연구의 모형을 기초로 음성장애 예방을 위해서 음성장애 고위험군에 대한 조기 관리의 필요성이 제기된다.

Keywords

References

  1. Cohen, S. M., "Self-reported impact of dysphonia in a primary care population: an epidemiological study", Laryngoscope, Vol. 120, No. 10, pp. 2022-2032, 2010. DOI: http://dx.doi.org/10.1002/lary.21058
  2. Roy, N., Merrill, R. M., Gray, S. D., & Smith, E. M., "Voice disorders in the general population: prevalence, risk factors, and occupational impact", Laryngoscope, Vol. 115 No.11, 1988-1995, 2005. DOI: http://dx.doi.org/10.1097/01.mlg.0000179174.32345.41
  3. Roy, N., Stemple, J., Merrill, R. M., & Thomas, L., "Epidemiology of voice disorders in the elderly: preliminary findings", Laryngoscope, Vol. 117, pp. 628-633, 2007. DOI: http://dx.doi.org/10.1097/MLG.0b013e3180306da1
  4. Byeon, H., "The Risk Factor of Voice Disorder", The Korean Academy of Speech-Language Pathology and Audiology, pp.284-286, 2011
  5. Ministry of Health and Welfare., "The korea national health and nutritional examination survey 2007-2009", Seoul: Author. 2010.
  6. Byeon, H., "Comparative Analysis of Unweighted Sample Design and Complex Sample Design Related to the Exploration of Potential Risk Factors of Dysphonia", The Korea academia industrial cooperation society, Vol. 13, No. 5, pp.2251-2258, 2012. https://doi.org/10.5762/KAIS.2012.13.5.2251
  7. Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J., "Classification and Regression Trees", CA: Wadsworth. 1984.
  8. Tan, P., Steinbach, M., & Kumar, V., " Introduction to data mining", Boston: Addison Wesley, 2006.
  9. Cristianini, N., & Shawe-Taylor, J., "An introduction to support vecter machins", Cambridge: Cambridge Univerity Press. 2000.
  10. Bermúdez de Alvear, R. M., Barón, F. J., & Martínez-Arquerom, A. G., "School teachers' vocal use, risk factors, and voice disorder prevalence: guidelines to detect teachers with current voice problems", Folia Phoniatrica et Logopaedica, Vol. 63, pp. 209-215, 2011. DOI: http://dx.doi.org/10.1159/000316310
  11. Best, S. R., & Fakhry, C. F., "The prevalence, diagnosis, and management of voice disorders in National Ambulatory Medical Care Survey(NAMCS) cohort", Laryngoscope, Vol. 121, No. 1, pp. 150-157, 2011. DOI: http://dx.doi.org/10.1002/lary.21169
  12. Chen, S. H., Chiang, S. C., Chung, Y. M., Hsiao, L. C., & Hsiao, T. Y., "Risk factors and effects of voice problems for teachers", Journal of Voice, Vol. 24, No. 2, pp.183-192, 2010. DOI: http://dx.doi.org/10.1016/j.jvoice.2008.07.008
  13. Herrington-Hall, B. L., Lee, L., Stemple, J. C., Niemi, K. R., & McHone, M. M., "Description of laryngeal pathologies by age, sex, and occupation in a treatment-seeking sample", Journal of Speech, Hearing Disorders, Vol. 53 No. 1, pp.57-64. 1988. https://doi.org/10.1044/jshd.5301.57
  14. Smith, E., Kirchner, H. L., Taylor, M., Hoffman, H., & Lemke, J. H., "Voice problems among teachers: differences in gender and teaching characteristics", Journal of Voice. Vol. 12, pp. 328-334, 1988. DOI: http://dx.doi.org/10.1016/S0892-1997(98)80022-2
  15. Miller, M. K., & Verdolini, K., "Frequency and risk fators for voice problems in teachers of singing and control subjects", Journal of Voice, Vol. 9, No. 4, pp.348-362, 1995. DOI: http://dx.doi.org/10.1016/S0892-1997(05)80197-3
  16. Verdolini, K., & Ramig, L.O., "Review: occupational risks for voice problems", Logopedics, Phoniatrics, Vocology. Vol. 26, No. 1, pp.37-46. 2001. DOI: http://dx.doi.org/10.1080/140154301300109125 DOI: http://dx.doi.org/10.1080/14015430119969
  17. Byeon, H., & Hwang, Y., "Gender Differences in Risk Factors of Self-reported Voice Problems", Phonetics and Speech Sciences, Vol. 4, No. 1, pp.99-108, 2011.
  18. Nam, I. C., Bae, J. S., Shim, M. R., Hwang, Y. S., Kim, M. S., & Sun, D. I., "The importance of preoperative laryngeal examination before thyroidectomy and the usefulness of a voice questionnaire in screening", World Journal of Surgery, Vol. 36, No. 2, pp.303-309, 2012. DOI: http://dx.doi.org/10.1007/s00268-011-1347-5
  19. Byeon, H., & Lee, Y., "Laryngeal pathologies in older Korean adults and their association with smoking and alcohol consumption", Laryngoscope, Vol. 123, No. 2, pp.429-433, 2013. DOI: http://dx.doi.org/10.1002/lary.23603