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

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. Key Words : Decision tree, National survey, Prediction model, Risk factor, Self-reported voice problem * Corresponding Author : DrSc. Haewon, Byeon(Nambu Univ.)Tel: +82-62-970-0227 email: byeon@nambu.ac.krReceived April 30, 2013 Revised June 4, 2013 Accepted July 11, 2013