지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.5
- 수록면
- 194 - 204 (11page)
이용수
초록· 키워드
오류제보하기
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
REFERENCES
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Dental age estimation using the pulp-to-tooth ratio in canines by neural networks
Imaging science in dentistry
2019 .01
-
Dental Age Estimation Using the Demirjian Method: Statistical Analysis Using Neural Networks
대한법의학회지
2023 .02
-
심미보철치료를 위한 교정치료의 원칙과 고려사항
대한치과의사협회지
2018 .08
-
Application of Artificial Intelligence for the Management of Oral Diseases
Journal of Oral Medicine and Pain
2022 .06
-
Part II. What drives Korean adults to seek orthodontic treatment: Factors contributing to orthodontic treatment decisions
대한치과교정학회지
2021 .01
-
대규모 신경망의 관점에서 본 우울증
생물치료정신의학
2017 .02
-
일상활동구강영향지수(OIDP)를 이용한 교정환자의 구강건강관련 삶의 질과 만족도 평가
한국치위생학회지
2018 .01
-
Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy
Clinical Endoscopy
2020 .01
-
Accuracy of Bolton analysis measured in laser scanned digital models compared with plaster models (gold standard) and cone-beam computer tomography images
대한치과교정학회지
2016 .01
-
Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients
Asian Pacific journal of cancer prevention : APJCP
2015 .01
-
법의간호 역량에 대한 진화론적 개념분석
중환자간호학회지
2018 .06
-
Sample Size Estimation for Developing Artificial Intelligence to Predict Orthodontic Treatment Outcomes
Journal of Korean Dental Science
2025 .03
-
Harnessing the Power of Voice: A Deep Neural Network Model for Alzheimer’s Disease Detection
Dementia and Neurocognitive Disorders(대한치매학회지)
2024 .01
-
119 구급대원의 법의학 지식에 대한 연구
한국응급구조학회지
2019 .01
-
Part I. What drives Korean adults to seek orthodontic treatment: Reliability and validity of a measurement instrument for the perception of orthodontic treatment
대한치과교정학회지
2020 .11
-
Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy System
Healthcare Informatics Research
2018 .01
-
Commentary on “Artificial Intelligence Detection of Cervical Spine Fractures Using Convolutional Neural Network Models”
Neurospine
2024 .09
-
An overview of deep learning in the field of dentistry
Imaging science in dentistry
2019 .01
-
Preventive Cares for Orthodontic Dental Patients
International Journal of Clinical Preventive Dentistry
2018 .01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0102-2023-515-001915679