데이터 마이닝 기법을 이용한 치주건강 관련요인 분석연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박희정 | - |
dc.contributor.author | 김태일 | - |
dc.contributor.author | 이준협 | - |
dc.date.accessioned | 2021-09-06T09:33:26Z | - |
dc.date.available | 2021-09-06T09:33:26Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 1975-7697 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/105809 | - |
dc.description.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. | - |
dc.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | 한국학교·지역보건교육학회 | - |
dc.title | 데이터 마이닝 기법을 이용한 치주건강 관련요인 분석연구 | - |
dc.title.alternative | Analysis of periodontal health related factors by using data mining method | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 이준협 | - |
dc.identifier.bibliographicCitation | 한국학교·지역보건교육학회지, v.14, no.3, pp.15 - 26 | - |
dc.relation.isPartOf | 한국학교·지역보건교육학회지 | - |
dc.citation.title | 한국학교·지역보건교육학회지 | - |
dc.citation.volume | 14 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 15 | - |
dc.citation.endPage | 26 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001841885 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.description.journalRegisteredClass | other | - |
dc.subject.keywordAuthor | Data mining | - |
dc.subject.keywordAuthor | Decision trees | - |
dc.subject.keywordAuthor | Periodontal health | - |
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