Es posible determinar relaciones odontométricas en caninos diferenciadas por sexo mediante algunas técnicas de clasificación no supervisadas ? (Is it possible to determine odontometric relationships in canines differentiated by sex using some unsupervised classification techniques ?)
| Autor: | Ramón Álvarez-Vaz, Verónica Gargano, Alicia Picapedra, Carlos Sassi |
|---|---|
| Jazyk: | Spanish; Castilian |
| Rok vydání: | 2022 |
| ISSN: | 0124-7336 |
| DOI: | 10.5281/zenodo.7265061 |
| Popis: | OBJECTIVES: This study aims to investigate whether two dental and one interdental measurement can be used to decide whether they belong to one of the 2 sex categories in a study in Uruguay. METHODS: This is an odontometric odontometric analysis of 1007 plaster casts (481 upper and 524 lower), of which for this study only 453 of the upper jaw are considered in 227 male and 226 female patients, aged between 18 and 60 years, in a study in Uruguay. between 18 and 60 years of age, attended in an orthodontic clinic in the city of Montevideo, Uruguay, consisting of measurements of the mesiodistal diameter and gingivoincisal height of the canines and intercanine distance. The The data are analyzed using 3 unsupervised classification methods, using a model-based clustering method, a non-hierarchical one (K Means) and a fuzzy clustering method. RESULTS:It can be established that there are several solutions, that when considering an agreement in the 3 methods, it is chosen to work with three clusters, well differentiated, according to the variables considered and the methods used with different levels of association with sex. with sex. CONCLUSIONS: So far we could conclude that the typification of canines and intercanine distance allowed us to propose the existence of an odontometric differentiation by sex, which can be improved with the use of other algorithms. improved with the use of other clustering algorithms and other attributes such as biotype and crowding. Poster presentado en las VII Jornadas Nacionales de Estadı́stica de la Sociedad Uruguaya de Estadística (SUE) {"references":["Rao NG, Rao NN, Pai ML, Kotian MS (1989). Mandibular canine index a clue for establishing sex identity. Forensic Sci Int; 42:(3) 249-54.","Picapedra A, Sassi C, Massa F, Francesquin Jr L, Daruge E, Daruge Jr E (2012). Odontometric analysis of maxillas: a device for sex determination. Inter J Dental Anthropol 21: 01-16. ID: ijda00074 (ISSN 0124-7336)","Gargano V, Picapedra A, Sassi C, Lima L, Alvarez R, Francesquini Jr. L Daruge Jr. E. ¿Son los ı́ndices caninos mandibular y maxilar herramientas fidedignas para la determinación del sexo? Actas odontológicas 2014; XI (1):22-34","Alvarez-Vaz,R. & Sassi, C. (2020). Indice Canino Maxilar: Determinación del sexo mediante técnicas de clasificación supervisada. Revista de la Facultad de Ciencias, 9 (1), 1–19. DOI: https://doi.org/10.15446/rev.fac.cienc.v9n1.56684","Kaushal S, Patnaik VVG, Agnihotri G (2003). Mandibular Canines In Sex Determination J Anat. Soc. India; 52(2) 119-124. Kaushal","mes G, Witten D. Hastie T. y Tibshirani, R (2013). An Introduction to Statistical Learning with applications in R.DOI:10.1007/978-1-4614-7138-7.","R Core Team (2021). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.","Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M., Hornik, K.(2021). cluster: Cluster Analysis Basics and Extensions. R package version 2.1.2.","Scrucca L., Fop M., Murphy T. B. and Raftery A. E. (2016) mclust 5: clustering, classification and density estimation using Gaussian finite mixture models The R Journal 8/1, pp. 289-317"]} |
| Databáze: | OpenAIRE |
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