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Modeling breast tumor growth by a randomized logistic model: A computational approach to treat uncertainties via probability densities

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Modeling breast tumor growth by a randomized logistic model: A computational approach to treat uncertainties via probability densities

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Burgos-Simón, C.; Cortés, J.; Martínez-Rodríguez, D.; Villanueva Micó, RJ. (2020). Modeling breast tumor growth by a randomized logistic model: A computational approach to treat uncertainties via probability densities. European Physical Journal Plus. 135(10):1-14. https://doi.org/10.1140/epjp/s13360-020-00853-3

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Título: Modeling breast tumor growth by a randomized logistic model: A computational approach to treat uncertainties via probability densities
Autor: Burgos-Simón, Clara Cortés, J.-C. Martínez-Rodríguez, David Villanueva Micó, Rafael Jacinto
Entidad UPV: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària
Fecha difusión:
Resumen:
[EN] We consider a randomized discrete logistic equation to describe the dynamics of breast tumor volume. We propose a method, that takes advantage of the principle of maximum entropy, to assign reliable distributions ...[+]
Palabras clave: Maximum entropy principle , Computational model fitting , Volume tumor growth , Uncertainty treatment
Derechos de uso: Reserva de todos los derechos
Fuente:
European Physical Journal Plus. (eissn: 2190-5444 )
DOI: 10.1140/epjp/s13360-020-00853-3
Editorial:
Springer
Versión del editor: https://www.doi.org/10.1140/epjp/s13360-020-00853-3
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095180-B-I00/ES/SISTEMA ADAPTATIVO BIOINSPIRADO PARA EL CONTROL GLUCEMICO BASADO EN SENSORES Y ACCESORIOS INTELIGENTES/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-89664-P/ES/PROBLEMAS DINAMICOS CON INCERTIDUMBRE SIMULABLE: MODELIZACION MATEMATICA, ANALISIS, COMPUTACION Y APLICACIONES/
Agradecimientos:
This work has been supported by the Spanish Ministerio de Economia, Industria y Competitividad (MINECO), the Agencia Estatal de Investigacion (AEI), and Fondo Europeo de Desarrollo Regional (FEDER UE) Grants MTM2017-89664-P ...[+]
Tipo: Artículo

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