A method for estimating the age of people in forensic medicine using multivariable statistics
The present study seeks to generate a regression model that allows estimating the age of individuals in the city of Barranquilla (Colombia) from the stages of people’s teeth, in order to generate a tool to help forensic doctors in the identification of bodies in a high degree of decomposition. The m...
- Autores:
-
BARRAZA SALCEDO, MARÍA DEL SOCORRO
Parody Muñoz, Alexander Elias
Borré-Ortiz, Yeis Miguel
amelec, viloria
Cervera Cárdenas, Jorge Eduardo
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/8025
- Acceso en línea:
- https://hdl.handle.net/11323/8025
https://doi.org/10.1007/978-981-15-5558-9_42
https://repositorio.cuc.edu.co/
- Palabra clave:
- Multiple linear regression
Forensic odontology
Age estimation
- Rights
- openAccess
- License
- CC0 1.0 Universal
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| dc.title.spa.fl_str_mv |
A method for estimating the age of people in forensic medicine using multivariable statistics |
| title |
A method for estimating the age of people in forensic medicine using multivariable statistics |
| spellingShingle |
A method for estimating the age of people in forensic medicine using multivariable statistics Multiple linear regression Forensic odontology Age estimation |
| title_short |
A method for estimating the age of people in forensic medicine using multivariable statistics |
| title_full |
A method for estimating the age of people in forensic medicine using multivariable statistics |
| title_fullStr |
A method for estimating the age of people in forensic medicine using multivariable statistics |
| title_full_unstemmed |
A method for estimating the age of people in forensic medicine using multivariable statistics |
| title_sort |
A method for estimating the age of people in forensic medicine using multivariable statistics |
| dc.creator.fl_str_mv |
BARRAZA SALCEDO, MARÍA DEL SOCORRO Parody Muñoz, Alexander Elias Borré-Ortiz, Yeis Miguel amelec, viloria Cervera Cárdenas, Jorge Eduardo |
| dc.contributor.author.spa.fl_str_mv |
BARRAZA SALCEDO, MARÍA DEL SOCORRO Parody Muñoz, Alexander Elias Borré-Ortiz, Yeis Miguel amelec, viloria Cervera Cárdenas, Jorge Eduardo |
| dc.subject.spa.fl_str_mv |
Multiple linear regression Forensic odontology Age estimation |
| topic |
Multiple linear regression Forensic odontology Age estimation |
| description |
The present study seeks to generate a regression model that allows estimating the age of individuals in the city of Barranquilla (Colombia) from the stages of people’s teeth, in order to generate a tool to help forensic doctors in the identification of bodies in a high degree of decomposition. The model showed that sex and teeth 23, 27, 38, and 47 have a statistically significant relationship with age, and although the model has a medium level of explanation (adjusted R-square of 56%), it is a very useful tool for estimating the age of the inhabitants of Barranquilla given that the current standards are based on studies carried out in other countries with genotypic and phenotypic characteristics that differ from Barranquilla people. |
| publishDate |
2020 |
| dc.date.issued.none.fl_str_mv |
2020-09-08 |
| dc.date.accessioned.none.fl_str_mv |
2021-03-16T20:46:49Z |
| dc.date.available.none.fl_str_mv |
2021-03-16T20:46:49Z |
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Pre-Publicación |
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http://purl.org/coar/resource_type/c_816b |
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18761119 18761100 |
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https://hdl.handle.net/11323/8025 |
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https://doi.org/10.1007/978-981-15-5558-9_42 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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18761119 18761100 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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https://hdl.handle.net/11323/8025 https://doi.org/10.1007/978-981-15-5558-9_42 https://repositorio.cuc.edu.co/ |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.references.spa.fl_str_mv |
1. Cortes M (2011) Maduración y desarrollo dental de los dientes permanentes en niños de la comunidad de Madrid. Universidad Complutense de Madrid Facultad de Odontología, Aplicación a la estimación de la edad dentaria 2. Espina de Fereira A, Fereira J, Céspedes M, Barrios F, Ortega A, Maldonado Y (2007) Empleo de la edad dental y la edad ósea para el cálculo de la edad cronológica con fines forenses, en niños escolares con valores de talla y peso no acordes con su edad y sexo, en Maracaibo, estado Zulia. Estudio preliminar. Acta odontológica. Venezolana. 3. Mata P (1846) Cirugía y Medicina Legal, 2ª Edición 4. Identificación de cadáveres en la práctica forense Instituto Nacional de Medicina Legal y Ciencias Forenses. 2009 5. Correa R (1990) Estomatología forense. Editorial Trilla 6. Noble H (Julio, 1974) The estimation of age from the dentition. In: Journal of the forensic science society 14(3) 7. Parody A et al (2018) Application of a central design composed of surface of response for the determination of the flatness in the steel sheets of a Colombian steel. In: Tan Y, Shi Y, Tang Q (eds) Data mining and big data. DMBD 2018. Lecture notes in computer science, vol 10943. Springer, Cham 8. Izquierdo NV, Lezama OBP, Dorta RG, Viloria A, Deras I, Hernández-Fernández L (2018) Fuzzy logic applied to the performance evaluation. Honduran coffee sector case. In: Tan Y, Shi Y, Tang Q (eds) Advances in swarm intelligence. ICSI 2018. Lecture notes in computer science, vol 10942. Springer, Cham 9. Viloria A et al (2018) Determination of dimensionality of the psychosocial risk assessment of internal, individual, double presence and external factors in work environments. In: Tan Y, Shi Y, Tang Q (eds) Data mining and big data. DMBD 2018. Lecture notes in computer science, vol 10943. Springer, Cham 10. Parody A, Viloria A, Lis JP, Malagón LE, Calí EG, Hernández Palma H (2018) Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company. In: Tan Y, Shi Y, Tang Q (eds) Data mining and big data. DMBD 2018. Lecture notes in computer science, vol 10943. Springer, Cham |
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Lecture Notes in Electrical Engineering |
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BARRAZA SALCEDO, MARÍA DEL SOCORRO3ab4e24d02df5a1e7eb736978a33eafeParody Muñoz, Alexander Elias45e4076032a9dd0188ddce3da9be4755Borré-Ortiz, Yeis Miguelbcedab0ce358f54df0f428e2bdfe8f7bamelec, viloria2f22a05451ff1bbfc2d4dd00035c952fCervera Cárdenas, Jorge Eduardo738db6c362612b0dcfbcf6e540fc767c2021-03-16T20:46:49Z2021-03-16T20:46:49Z2020-09-081876111918761100https://hdl.handle.net/11323/8025https://doi.org/10.1007/978-981-15-5558-9_42Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The present study seeks to generate a regression model that allows estimating the age of individuals in the city of Barranquilla (Colombia) from the stages of people’s teeth, in order to generate a tool to help forensic doctors in the identification of bodies in a high degree of decomposition. The model showed that sex and teeth 23, 27, 38, and 47 have a statistically significant relationship with age, and although the model has a medium level of explanation (adjusted R-square of 56%), it is a very useful tool for estimating the age of the inhabitants of Barranquilla given that the current standards are based on studies carried out in other countries with genotypic and phenotypic characteristics that differ from Barranquilla people.application/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Lecture Notes in Electrical Engineeringhttps://link.springer.com/chapter/10.1007/978-981-15-5558-9_42Multiple linear regressionForensic odontologyAge estimationA method for estimating the age of people in forensic medicine using multivariable statisticsPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersion1. Cortes M (2011) Maduración y desarrollo dental de los dientes permanentes en niños de la comunidad de Madrid. Universidad Complutense de Madrid Facultad de Odontología, Aplicación a la estimación de la edad dentaria2. Espina de Fereira A, Fereira J, Céspedes M, Barrios F, Ortega A, Maldonado Y (2007) Empleo de la edad dental y la edad ósea para el cálculo de la edad cronológica con fines forenses, en niños escolares con valores de talla y peso no acordes con su edad y sexo, en Maracaibo, estado Zulia. Estudio preliminar. Acta odontológica. Venezolana.3. Mata P (1846) Cirugía y Medicina Legal, 2ª Edición4. Identificación de cadáveres en la práctica forense Instituto Nacional de Medicina Legal y Ciencias Forenses. 20095. Correa R (1990) Estomatología forense. Editorial Trilla6. Noble H (Julio, 1974) The estimation of age from the dentition. In: Journal of the forensic science society 14(3)7. Parody A et al (2018) Application of a central design composed of surface of response for the determination of the flatness in the steel sheets of a Colombian steel. In: Tan Y, Shi Y, Tang Q (eds) Data mining and big data. DMBD 2018. Lecture notes in computer science, vol 10943. Springer, Cham8. Izquierdo NV, Lezama OBP, Dorta RG, Viloria A, Deras I, Hernández-Fernández L (2018) Fuzzy logic applied to the performance evaluation. Honduran coffee sector case. In: Tan Y, Shi Y, Tang Q (eds) Advances in swarm intelligence. ICSI 2018. Lecture notes in computer science, vol 10942. Springer, Cham9. Viloria A et al (2018) Determination of dimensionality of the psychosocial risk assessment of internal, individual, double presence and external factors in work environments. In: Tan Y, Shi Y, Tang Q (eds) Data mining and big data. DMBD 2018. Lecture notes in computer science, vol 10943. Springer, Cham10. Parody A, Viloria A, Lis JP, Malagón LE, Calí EG, Hernández Palma H (2018) Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company. In: Tan Y, Shi Y, Tang Q (eds) Data mining and big data. DMBD 2018. Lecture notes in computer science, vol 10943. 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