J Korean Acad Oral Health.  2023 Mar;47(1):26-31. 10.11149/jkaoh.2023.47.1.26.

A machine learning based decision tree analysis of influential factor for the number of remaining teeth in Korean adults

• Hwang SY
• Park JE

• KMID: 2541088
• DOI: http://doi.org/10.11149/jkaoh.2023.47.1.26

Abstract

Objectives
This study aims to investigate the effect of determinants on the number of remaining teeth in Korean adults using a machine learning-based decision tree analysis.
Methods
The study used data from the Korea National Health and Nutrition Examination Survey (KNHANES) VII (2016-2018) and a decision-tree analysis to explain the causes for the number of remaining teeth in adults. The determinants for the study are sex, age, house income, education level, diabetes, BMI, smoking, alcohol drinking, tooth brushing per day, and periodontitis.
Results
Age had the most significant effect on the number of remaining teeth, followed by house income.
Conclusions
This research is meaningful as it provides a systematic index in the number of remaining teeth in Korean adults based on a combination of numerous variables. These variables have already been validated against the results of previous studies that have attempted to elucidate new variables affecting the number of remaining teeth.

Keyword

Decision trees; Machine learning; Tooth loss

Figure

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  Fig. 1 Flow chart of data analysis.

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  Fig. 2 Results of decision tree analysis on influencing factor on the number of teeth.

Reference

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