Urology and Web predictive resources
Borque, Á. (Universidad de Zaragoza) ; Espárrago, M. ; Sánchez-Martín, F. ; Rubio-Briones, J. ; Esteban, L. M. ; Sanz, G. (Universidad de Zaragoza)
Resumen: Current medicine pursues a professional specialization and therapeutic individualization under the concept of individualized medicine, which is a personalized genomic medicine. However, our clinical practice is far from able to have an individualized genomic analysis of each patient and with enough evidence to provide personalized therapeutic advice.
Overcoming the current limitations to this personalized medicine with a genetic basis is an important goal of this century. However, indirectly, we do have resources that can offer individualized medical advice to our patients. These resources come from the statistical and mathematical analyses of a large series of patients, their characteristics, evolution, and objectified results. We are referring to the complex multivariate analyses using more or less conventional techniques, such as logistic regression or Cox proportional hazards regression, or more advanced techniques, models based on artificial intelligence.
Idioma: Inglés
DOI: 10.1016/j.acuro.2013.12.009
Año: 2014
Publicado en: Actas urológicas españolas 38, 3 (2014), 141-142
ISSN: 0210-4806
Factor impacto JCR: 1.022 (2014)
Categ. JCR: UROLOGY & NEPHROLOGY rank: 61 / 77 = 0.792 (2014) - Q4 - T3
Tipo y forma: (PostPrint)
Área (Departamento): Área Estadís. Investig. Opera. (Dpto. Métodos Estadísticos)
Área (Departamento): Área Urología (Dpto. Cirugía,Ginecol.Obstetr.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.
Exportado de SIDERAL (2024-01-25-15:08:12)
Visitas y descargas
Overcoming the current limitations to this personalized medicine with a genetic basis is an important goal of this century. However, indirectly, we do have resources that can offer individualized medical advice to our patients. These resources come from the statistical and mathematical analyses of a large series of patients, their characteristics, evolution, and objectified results. We are referring to the complex multivariate analyses using more or less conventional techniques, such as logistic regression or Cox proportional hazards regression, or more advanced techniques, models based on artificial intelligence.
Idioma: Inglés
DOI: 10.1016/j.acuro.2013.12.009
Año: 2014
Publicado en: Actas urológicas españolas 38, 3 (2014), 141-142
ISSN: 0210-4806
Factor impacto JCR: 1.022 (2014)
Categ. JCR: UROLOGY & NEPHROLOGY rank: 61 / 77 = 0.792 (2014) - Q4 - T3
Tipo y forma: (PostPrint)
Área (Departamento): Área Estadís. Investig. Opera. (Dpto. Métodos Estadísticos)
Área (Departamento): Área Urología (Dpto. Cirugía,Ginecol.Obstetr.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. Exportado de SIDERAL (2024-01-25-15:08:12)
Permalink:
Visitas y descargas
Este artículo se encuentra en las siguientes colecciones:
Articles
Record created 2024-01-23, last modified 2024-01-25