Prognostic risk score of genotypic characteristics in oral cancer based on logistic regression model

The prediction models represent the only way to stop or reduce the incidence of oral cancer in thepopulation, especially some socio cultural vulnerable population; and allow the development of a preventiveintervention protocol. These methodologies should be applied more rigorously to pre-cancerous l...

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Autores principales: Galíndez Costa, María Fernanda, Carrica, Victoriano Andrés, Don, Julieta, Unamuno, Victoria, Gónzalez Segura, Ignacio, Centeno, Viviana Andrea, Secchi, Dante Gustavo, Zárate, Ana María, Barra, José Luis, Brunotto, Mabel
Formato: conferenceObject
Lenguaje:Inglés
Publicado: 2022
Materias:
Prognosis
Diagnosis, oral
Logistic models
Acceso en línea:http://hdl.handle.net/11086/25854
Aporte de:
Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba
id I10-R141-11086-25854
record_format dspace
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-141
collection Repositorio Digital Universitario (UNC)
language Inglés
topic Prognosis
Diagnosis, oral
Logistic models
spellingShingle Prognosis
Diagnosis, oral
Logistic models
Galíndez Costa, María Fernanda
Carrica, Victoriano Andrés
Don, Julieta
Unamuno, Victoria
Gónzalez Segura, Ignacio
Centeno, Viviana Andrea
Secchi, Dante Gustavo
Zárate, Ana María
Barra, José Luis
Brunotto, Mabel
Prognostic risk score of genotypic characteristics in oral cancer based on logistic regression model
topic_facet Prognosis
Diagnosis, oral
Logistic models
description The prediction models represent the only way to stop or reduce the incidence of oral cancer in thepopulation, especially some socio cultural vulnerable population; and allow the development of a preventiveintervention protocol. These methodologies should be applied more rigorously to pre-cancerous lesions that can beconsidered early stages of oral cancer. The purpose of this work was to evaluate the genotypic characteristics ofpatients with oral cancer and precancerous in order to develop a statistical risk score, in order to improve theirprevention, treatment and follow-up. In order to identify prognostic factors, models were built through classificationmethods such as logistic regression. The logistic regression can be assimilated to a classifier in the context of twoclasses. If x is a p-dimensional vector of covariates, and a variable indicating class 1 (1 if it belongs to class 1, 0 if not)and f (x) the conditional density of Y given x, then the fundamental assumption of the logistic proposal used in thecontext of the discriminant analysis is the linearity of the log of the ratio of conditional densities, this is log[f(x)/(1-f(x))]=βo+β?x, , where βo and βx=( β1?βp)? represents p + 1 parameters to be estimated. The latter assumptionimplies that the probability of belonging to class 1 conditional on the observed vector x is given byπ1(x)=exp(βo+β?x)/[1+ exp(βo+β?x)]. The analyzed data are obtained from patients with oral cancer and precancerouslesions, who?s attended at Dentistry School of National University of Cordoba and participated of research oral cancerproject about single nucleotide polymorphisms
format conferenceObject
author Galíndez Costa, María Fernanda
Carrica, Victoriano Andrés
Don, Julieta
Unamuno, Victoria
Gónzalez Segura, Ignacio
Centeno, Viviana Andrea
Secchi, Dante Gustavo
Zárate, Ana María
Barra, José Luis
Brunotto, Mabel
author_facet Galíndez Costa, María Fernanda
Carrica, Victoriano Andrés
Don, Julieta
Unamuno, Victoria
Gónzalez Segura, Ignacio
Centeno, Viviana Andrea
Secchi, Dante Gustavo
Zárate, Ana María
Barra, José Luis
Brunotto, Mabel
author_sort Galíndez Costa, María Fernanda
title Prognostic risk score of genotypic characteristics in oral cancer based on logistic regression model
title_short Prognostic risk score of genotypic characteristics in oral cancer based on logistic regression model
title_full Prognostic risk score of genotypic characteristics in oral cancer based on logistic regression model
title_fullStr Prognostic risk score of genotypic characteristics in oral cancer based on logistic regression model
title_full_unstemmed Prognostic risk score of genotypic characteristics in oral cancer based on logistic regression model
title_sort prognostic risk score of genotypic characteristics in oral cancer based on logistic regression model
publishDate 2022
url http://hdl.handle.net/11086/25854
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