130249 20240125154835.0 doi 10.1016/j.acuro.2013.12.009 sideral 86475 ART-2014-86475 eng Borque, Á. Universidad de Zaragoza (orcid)0000-0003-0178-4567 Urology and Web predictive resources 2014 Access copy available to the general public Unrestricted 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. info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 1.022 2014 UROLOGY & NEPHROLOGY 61 / 77 = 0.792 2014 Q4 T3 info:eu-repo/semantics/other info:eu-repo/semantics/acceptedVersion Espárrago, M. Sánchez-Martín, F. Rubio-Briones, J. Esteban, L. M. Sanz, G. Universidad de Zaragoza (orcid)0000-0002-6474-2252 2007 265 Universidad de Zaragoza Dpto. Métodos Estadísticos Área Estadís. Investig. Opera. 1004 817 Universidad de Zaragoza Dpto. Cirugía,Ginecol.Obstetr. Área Urología 38, 3 (2014), 141-142 Actas urol. esp. Actas urológicas españolas 0210-4806 404356 http://zaguan.unizar.es/record/130249/files/texto_completo.pdf Postprint 1378996 http://zaguan.unizar.es/record/130249/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:130249 articulos driver 2024-01-25-15:08:12 ARTICLE