{"id":483,"date":"2019-07-04T17:02:50","date_gmt":"2019-07-04T20:02:50","guid":{"rendered":"https:\/\/fabianvillena.cl\/blog\/?p=483"},"modified":"2019-11-21T13:42:28","modified_gmt":"2019-11-21T16:42:28","slug":"generador-automatico-de-diagnosticos","status":"publish","type":"post","link":"https:\/\/villena.cl\/blog\/generador-automatico-de-diagnosticos\/","title":{"rendered":"Generador Autom\u00e1tico de Diagn\u00f3sticos"},"content":{"rendered":"\n<p style=\"text-align:right\">Puedes <a href=\"https:\/\/mybinder.org\/v2\/gh\/fvillena\/medical-text-synthesizing\/master?filepath=notebooks%2Fsynthesizer.ipynb\">probar el generador ac\u00e1<\/a>.<\/p>\n\n\n\n<p>La narrativa m\u00e9dica es un tema muy estudiado en estos momentos dado el gran advenimiento de la <strong>Inteligencia Artificial<\/strong> en la sociedad en general. <\/p>\n\n\n\n<p>Lograr entender cu\u00e1l es el significado de una narrativa m\u00e9dica es el objetivo principal del <strong>Procesamiento de Lenguaje Natural en Medicina<\/strong>, si llegamos a una perfecta representaci\u00f3n sistematizada de la informaci\u00f3n que escriben los profesionales de la salud en las distintas fuentes de datos cl\u00ednicos, muchos problemas podr\u00edan solucionarse en el \u00e1rea de la salud, desde la <strong>justa priorizaci\u00f3n de un paciente dentro de la temida lista de espera<\/strong> hasta la correcta distribuci\u00f3n de recursos dentro de un establecimiento de salud.<\/p>\n\n\n\n<p>La narrativa m\u00e9dica o mejor dicho el lenguaje en general no tiene una distribuci\u00f3n al azar, sino que podemos encontrar patrones f\u00e1cilmente de manera casi intuitiva, por ejemplo al explorar diagn\u00f3sticos nos encontramos con que la palabra <em>caries<\/em> en la mayor\u00eda de los casos est\u00e1 acompa\u00f1ada de palabras que definen m\u00e1s espec\u00edficamente el diagn\u00f3stico, las cuales tienen una distribuci\u00f3n predecible, por ejemplo:<\/p>\n\n\n\n<p>Es muy probable que encontremos los siguientes grupos de 2 palabras (bigramas) con mucha frecuencia:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><em>caries dentinaria<\/em><\/li><li><em>caries penetrante<\/em><\/li><\/ul>\n\n\n\n<p>Pero que nos encontremos con una frecuencia casi nula los bigramas:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><em>caries cerebral<\/em><\/li><li><em>caries pulmonar<\/em><\/li><\/ul>\n\n\n\n<p>Esto quiere decir que dada una palabra de entrada <strong>podemos predecir qu\u00e9 palabras le seguir\u00edan<\/strong> con mayor probabilidad.<\/p>\n\n\n\n<p>Uno de los m\u00e9todos que podemos utilizar para modelar este comportamiento son las <strong>Cadenas de Markov<\/strong>, en donde establecemos una matriz de probabilidades en donde como filas tenemos cada una de las palabras de nuestro vocabulario y cada uno de los valores de esta fila nos dice con qu\u00e9 probabilidad aparece una siguiente palabra.<\/p>\n\n\n\n<p>Este modelamiento tiene una desventaja, porque <strong>s\u00f3lo podemos predecir la siguiente palabra dado una \u00fanica palabra anterior<\/strong>, olvid\u00e1ndonos de todo lo que hayamos escrito antes.<\/p>\n\n\n\n<p>Para modelar el lenguaje utilizado en los diag\u00f3sticos, se extrajeron las frecuencias de todos los bigramas posibles dentro de alrededor de <strong>2 millones de diagn\u00f3sticos m\u00e9dicos<\/strong>, el desarrollo del modelo se realiz\u00f3 en Python y el c\u00f3digo para poder entrenar tus propios modelos o probar el modelo generado con los 2 millones de diagn\u00f3sticos <a href=\"https:\/\/github.com\/fvillena\/medical-text-synthesizing\">se encuentra libre<\/a> pero los datos de entrenamiento no se encuentran disponibles debido a temas bio\u00e9ticos.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Ejemplo<\/h2>\n\n\n\n<pre class=\"wp-block-preformatted\">synthesizer = src.utils.DiagnosticGenerator( # Clase para construir el Generador de diagn\u00f3sticos.\n     markov_matrix_file = r\"..\/models\/model.npz\", # Localizaci\u00f3n de la matriz de Markov.\n     vocabulary_file = r\"..\/models\/vocabulary.txt\" # Localizaci\u00f3n del vocabulario.\n )<\/pre>\n\n\n\n<pre class=\"wp-block-preformatted\">synthesizer.generate() # M\u00e9todo para generar un diagn\u00f3stico.<\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">Algunos diagn\u00f3sticos generados<\/h3>\n\n\n\n<p>Todos los siguientes diagn\u00f3sticos fueron <strong>generados por una m\u00e1quina<\/strong>.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><em>caries dentinaria penetrante<\/em><\/li><li><em>periodontitis apical aguda<\/em><\/li><li><em>pulpitis aguda resuelta<\/em><\/li><li><em>queratoquiste ramamandibular izquierda sobreinfectada con rx de alta obs<\/em><\/li><\/ul>\n\n\n\n<p>Podemos observar que todos los diagn\u00f3sticos aparentemente tienen sentido, por lo que <strong>somos capaces de simular una narrativa m\u00e9dica<\/strong> de cierto modo bas\u00e1ndonos s\u00f3lamente en la distribuci\u00f3n de frecuencias de las palabras.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Puedes probar el generador ac\u00e1. La narrativa m\u00e9dica es un tema muy estudiado en estos momentos dado el gran advenimiento de la Inteligencia Artificial en la sociedad en general. Lograr entender cu\u00e1l es el significado de una narrativa m\u00e9dica es el objetivo principal del Procesamiento de Lenguaje Natural en Medicina, si llegamos a una perfecta &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/villena.cl\/blog\/generador-automatico-de-diagnosticos\/\" class=\"more-link\">Continua leyendo<span class=\"screen-reader-text\"> &#8220;Generador Autom\u00e1tico de Diagn\u00f3sticos&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":484,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[104,144],"tags":[141,142],"class_list":["post-483","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dentistas","category-informatica-medica","tag-inteligencia-artificial","tag-procesamiento-de-lenguaje-natural"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Generador Autom\u00e1tico de Diagn\u00f3sticos - Dr. Fabi\u00e1n Villena Rodr\u00edguez<\/title>\n<meta name=\"description\" content=\"Maquina que genera de manera autom\u00e1tica diagn\u00f3sticos m\u00e9dicos. Somos capaces de simular una narrativa m\u00e9dica mediante Inteligencia Artificial.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/villena.cl\/blog\/generador-automatico-de-diagnosticos\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Generador Autom\u00e1tico de Diagn\u00f3sticos - Dr. Fabi\u00e1n Villena Rodr\u00edguez\" \/>\n<meta property=\"og:description\" content=\"Maquina que genera de manera autom\u00e1tica diagn\u00f3sticos m\u00e9dicos. 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