000130249 001__ 130249 000130249 005__ 20240125154835.0 000130249 0247_ $$2doi$$a10.1016/j.acuro.2013.12.009 000130249 0248_ $$2sideral$$a86475 000130249 037__ $$aART-2014-86475 000130249 041__ $$aeng 000130249 100__ $$0(orcid)0000-0003-0178-4567$$aBorque, Á.$$uUniversidad de Zaragoza 000130249 245__ $$aUrology and Web predictive resources 000130249 260__ $$c2014 000130249 5060_ $$aAccess copy available to the general public$$fUnrestricted 000130249 5203_ $$aCurrent 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. 000130249 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000130249 590__ $$a1.022$$b2014 000130249 591__ $$aUROLOGY & NEPHROLOGY$$b61 / 77 = 0.792$$c2014$$dQ4$$eT3 000130249 655_4 $$ainfo:eu-repo/semantics/other$$vinfo:eu-repo/semantics/acceptedVersion 000130249 700__ $$aEspárrago, M. 000130249 700__ $$aSánchez-Martín, F. 000130249 700__ $$aRubio-Briones, J. 000130249 700__ $$aEsteban, L. M. 000130249 700__ $$0(orcid)0000-0002-6474-2252$$aSanz, G.$$uUniversidad de Zaragoza 000130249 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera. 000130249 7102_ $$11004$$2817$$aUniversidad de Zaragoza$$bDpto. Cirugía,Ginecol.Obstetr.$$cÁrea Urología 000130249 773__ $$g38, 3 (2014), 141-142$$pActas urol. esp.$$tActas urológicas españolas$$x0210-4806 000130249 8564_ $$s404356$$uhttps://zaguan.unizar.es/record/130249/files/texto_completo.pdf$$yPostprint 000130249 8564_ $$s1378996$$uhttps://zaguan.unizar.es/record/130249/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000130249 909CO $$ooai:zaguan.unizar.es:130249$$particulos$$pdriver 000130249 951__ $$a2024-01-25-15:08:12 000130249 980__ $$aARTICLE