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Decision Tree Approach to the Impact of Parents’ Oral Health on Dental Caries Experience in Children: A Cross-Sectional Study

Author

Listed:
  • Shinechimeg Dima

    (School of Dentistry, College of Oral Medicine, Taipei Medical University, 250Wu-Hsing Street, Taipei 110, Taiwan)

  • Kung-Jeng Wang

    (Department of Industrial Management, National Taiwan University of Science and Technology, No. 43, Section 4, Jilong Road, Da’an District, Taipei 10607, Taiwan)

  • Kun-Huang Chen

    (Big Data Research Center, Asia University, Lioufeng Rd. 500,Wufeng, Taichung 41354, Taiwan)

  • Yung-Kai Huang

    (School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, 250 Wu-Hsing Street, Taipei 110, Taiwan)

  • Wei-Jen Chang

    (School of Dentistry, College of Oral Medicine, Taipei Medical University, 250Wu-Hsing Street, Taipei 110, Taiwan)

  • Sheng-Yang Lee

    (School of Dentistry, College of Oral Medicine, Taipei Medical University, 250Wu-Hsing Street, Taipei 110, Taiwan)

  • Nai-Chia Teng

    (School of Dentistry, College of Oral Medicine, Taipei Medical University, 250Wu-Hsing Street, Taipei 110, Taiwan
    Department of Dentistry, Taipei Medical University Hospital, 250 Wu-Hsing Street, Taipei 110, Taiwan)

Abstract

Decision tree (DT) analysis was applied in this cross-sectional study to investigate caries experience in children by using clinical and microbiological data obtained from parent–child pairs. Thirty pairs of parents and children were recruited from periodontal and pediatric dental clinics. All participants were clinically examined for caries and periodontitis by a calibrated examiner. Cariogenic and periodontopathic bacteria examinations were conducted. The Kendall rank correlation coefficient was used to measure the association between data variables obtained through clinical and microbiological examinations. A classificatory inductive decision tree was generated using the C4.5 algorithm with the top-down approach. The C4.5 DT analysis was applied to classify major influential factors for children dental caries experience. The DT identified parents’ periodontal health classification, decayed, missing, filled permanent teeth (DMFT) index, periodontopathic test (PerioCheck) result, and periodontal pocket depth as the classification factors for children caries experience. 13.3% of children were identified with a low decayed, missing, filled primary teeth (dmft) index (dmft < 3) whose parents had a periodontal pocket depth ≤3.7, PerioCheck score >1, DMFT index <13.5, and periodontal classification >2. The DT model for this study sample had an accuracy of 93.33%. Here, parental periodontal status and parents’ DMFT were the factors forming the DT for children’s caries experience.

Suggested Citation

  • Shinechimeg Dima & Kung-Jeng Wang & Kun-Huang Chen & Yung-Kai Huang & Wei-Jen Chang & Sheng-Yang Lee & Nai-Chia Teng, 2018. "Decision Tree Approach to the Impact of Parents’ Oral Health on Dental Caries Experience in Children: A Cross-Sectional Study," IJERPH, MDPI, vol. 15(4), pages 1-12, April.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:692-:d:139834
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    References listed on IDEAS

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    1. Jolanta Aleksejūnienė & Dorthe Holst & Vilma Brukienė, 2009. "Dental Caries Risk Studies Revisited: Causal Approaches Needed for Future Inquiries," IJERPH, MDPI, vol. 6(12), pages 1-18, November.
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    Cited by:

    1. Chin-Chuan Shih & Chi-Jie Lu & Gin-Den Chen & Chi-Chang Chang, 2020. "Risk Prediction for Early Chronic Kidney Disease: Results from an Adult Health Examination Program of 19,270 Individuals," IJERPH, MDPI, vol. 17(14), pages 1-11, July.
    2. Chi-Chang Chang & Chun-Chia Chen & Chalong Cheewakriangkrai & Ying Chen Chen & Shun-Fa Yang, 2021. "Risk Prediction of Second Primary Endometrial Cancer in Obese Women: A Hospital-Based Cancer Registry Study," IJERPH, MDPI, vol. 18(17), pages 1-9, August.

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