{"id":21758,"date":"2018-03-09T09:11:40","date_gmt":"2018-03-09T09:11:40","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/explicacion-en-redes-bayesianas-causales-aplicaciones-medicas\/"},"modified":"2018-03-09T09:11:40","modified_gmt":"2018-03-09T09:11:40","slug":"explicacion-en-redes-bayesianas-causales-aplicaciones-medicas","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/nacional-de-educacion-a-distancia\/explicacion-en-redes-bayesianas-causales-aplicaciones-medicas\/","title":{"rendered":"Explicaci\u00f3n en redes bayesianas causales. aplicaciones m\u00e9dicas"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Carmen Lacave Rodero <\/strong><\/h2>\n<p>Las redes bayesianas constituyen una metodolog\u00eda para la construcci\u00f3n de sistemas expertos que surgi\u00f3 en la d\u00e9cada de los 80 y se ha expandido notablemente en los \u00faltimos a\u00f1os. Su principal cualidad es que realizan el tratamiento de la incertidumbre a partir de un modelo causal probabil\u00edstico. Sin embargo, para que una red bayesiana pueda considerarse como verdadero sistema experto, hace falta que pueda explicar su proceso de razonamiento. Proporcionar la explicaci\u00f3n de las conclusiones de los sistemas basados en la toma de decisiones permite que el usuario del sistema comprenda por qu\u00e9 y c\u00f3mo se han obtenido dichos resultados, c\u00f3mo funciona el sistema, etc. En particular, la capacidad de explicaci\u00f3n es especialmente necesario en el campo de la medicina.  hasta ahora, sin embargo, no existe una teor\u00eda que permita encontrar una soluci\u00f3n completa para el problema de la explicaci\u00f3n, sino soluciones puntuales para casos concretos. Si queremos que las redes bayesianas tengan una amplia aceptaci\u00f3n en la vida cotidiana, hay que dotarles de una capacidad de explicaci\u00f3n potente y amigable.  en los sistemas basados en b\u00fasqueda de heur\u00edstica (mycin, xplain, blah) se explica la forma en la que el sistema ha obtenidos sus conclusiones; sin embargo en los sistemas probabil\u00edsticos (nestor, insite) se hace m\u00e1s hincapi\u00e9 en el contenido de la base de conocimiento.  por ello, el primer objetivo de esta tesis ser\u00e1 el desarrollo de una capacidad de explicaci\u00f3n para redes bayesianas en la que se sinteticen y mejoren los trabajos sobre explicaci\u00f3n tanto en sistemas heur\u00edsticos como en redes bayesianas, especialmente redes bayesianas causales.  el segundo de los objetivos es la aplicaci\u00f3n de las ideas desarrolladas a la construcci\u00f3n de un sistema experto para el diagn\u00f3stico de c\u00e1ncer de pr\u00f3stata.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Explicaci\u00f3n en redes bayesianas causales. aplicaciones m\u00e9dicas<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Explicaci\u00f3n en redes bayesianas causales. aplicaciones m\u00e9dicas <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Carmen Lacave Rodero <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Nacional de educaci\u00f3n a distancia<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 21\/02\/2003<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Francisco Javier Diez Vega<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: jos\u00e9 Mira mira <\/li>\n<li> Bielza lozoya m. concepci\u00f3n (vocal)<\/li>\n<li>seraf\u00edn Moral callej\u00f3n (vocal)<\/li>\n<li>enrique Castillo ron (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Carmen Lacave Rodero Las redes bayesianas constituyen una metodolog\u00eda para la construcci\u00f3n de sistemas expertos que surgi\u00f3 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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