Artificial neural network model for predicting sex using dental and orthodontic measurements

• 영문명: Artificial neural network model for predicting sex using dental and orthodontic measurements
• 발행기관: 대한치과교정학회
• 저자명: Sandra Anic-Milosevic Natasa Medancic Martina Calusic-Sarac Jelena Dumancic Hrvoje Brkic
• 간행물 정보: 『The Korean Journal of Orthodontics』제53권 제3호, 194~204쪽, 전체 11쪽
• 주제분류: 의약학 > 기타의약학
• 파일형태: PDF
• 발행일자: 2023.05.31

영문 초록

Objective: To investigate sex-specific correlations between the dimensions of permanent canines and the anterior Bolton ratio and to construct a statistical model capable of identifying the sex of an unknown subject. Methods: Odontometric data were collected from 121 plaster study models derived from Caucasian orthodontic patients aged 12–17 years at the pretreatment stage by measuring the dimensions of the permanent canines and Bolton's anterior ratio. Sixteen variables were collected for each subject: 12 dimensions of the permanent canines, sex, age, anterior Bolton ratio, and Angle’s classification. Data were analyzed using inferential statistics, principal component analysis, and artificial neural network modeling. Results: Sex-specific differences were identified in all odontometric variables, and an artificial neural network model was prepared that used odontometric variables for predicting the sex of the participants with an accuracy of > 80%. This model can be applied for forensic purposes, and its accuracy can be further improved by adding data collected from new subjects or adding new variables for existing subjects. The improvement in the accuracy of the model was demonstrated by an increase in the percentage of accurate predictions from 72.0–78.1% to 77.8–85.7% after the anterior Bolton ratio and age were added. Conclusions: The described artificial neural network model combines forensic dentistry and orthodontics to improve subject recognition by expanding the initial space of odontometric variables and adding orthodontic parameters.

목차

INTRODUCTION

MATERIALS AND METHODS

RESULTS

DISCUSSION

CONCLUSIONS

AUTHOR CONTRIBUTIONS

CONFLICTS OF INTEREST

FUNDING

REFERENCES

키워드

Odontometry Principal component analysis Artificial neural networks Computer algorithm