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.)