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KMID : 1023420090090020181
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Journal of Dental Hygiene Science
2009 Volume.9 No. 2 p.181 ~ p.187
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Predictive Modeling of Dental Pain Factors Using Neural Network Model
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Kim Eun-Yeob
Lim Kun-Ok
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Abstract
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Oral diseases may hinder people from living a healthy life by causing obstacles in the nutrition supply of the human body. This study aims at the found out the eating habits and recognition factors of people who are currently suffering from dental pain, and made a predictive modeling using neural network, which is a data mining. The oral health condition for maintaining and improving oral health has been examined and analyzed through a survey and the groups were divided based on the presence and the absence of dental pain. This study observed on eating habits, exercise and oral habits. The study results of neural network modeling input parameter was selected significant survival factors. As a result of making a predictive modeling using the neural network, the fitness of the predictive modeling of dental pain factors was 88.7%. As for the people who are likely to experience dental pain predicted by the neural network model, preventive measures including proper eating habits, education on oral hygiene, and stress release must precede any dental treatment.
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KEYWORD
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Dental pain, Eating-Life habit, Neural network
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