데이터 마이닝 기법을 이용한 치주건강 관련요인 분석연구Analysis of periodontal health related factors by using data mining method
- Other Titles
- Analysis of periodontal health related factors by using data mining method
- Authors
- 박희정; 김태일; 이준협
- Issue Date
- 2013
- Publisher
- 한국학교·지역보건교육학회
- Keywords
- Data mining; Decision trees; Periodontal health
- Citation
- 한국학교·지역보건교육학회지, v.14, no.3, pp.15 - 26
- Indexed
- KCI
OTHER
- Journal Title
- 한국학교·지역보건교육학회지
- Volume
- 14
- Number
- 3
- Start Page
- 15
- End Page
- 26
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/105809
- ISSN
- 1975-7697
- Abstract
- Objectives: The purpose of this study was to evaluate self-reported symptoms of periodontal diseases. We performed a comprehensive analysis of periodontal health related factors.
Methods: 581 volunteers representing a broad range of age from 20 to 65 wererecruited from Seoul and Gyeonggi provinces. They participated in a self-administeredsurvey of which the results were analyzed through the decision tree analysis using thedata mining program.
Results: 67% of the participants reported ‘bad breath,' whereas 13.9% of participantsreported ‘toothache’. The decision analysis revealed that age was the most determiningfactor of adult periodontal health. Participants in 20s with a profound understanding oftheir periodontal health status exhibited a low vulnerability to periodontal diseases,whereas those lacking the awareness were more susceptible to the diseases. However,other participants in 30s and older showed a higher vulnerability to periodontal illnessthan those in 20s, whether or not they had suffered from chronic diseases.
Conclusions: In order to effectively prevent periodontal diseases, an age-appropriateclinical approach will be necessary. For the younger age group it will be crucial to enhancethe self-awareness of their current oral health status. On the other hand, those in 30s and older will need to pay a close attention to the prevention of chronic periodontal disease.
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