{"id":3306,"date":"2021-04-16T09:03:28","date_gmt":"2021-04-16T07:03:28","guid":{"rendered":"http:\/\/blog.ircres.cnr.it\/?p=3306"},"modified":"2021-04-16T09:17:22","modified_gmt":"2021-04-16T07:17:22","slug":"articolo-su-internal-and-emergency-medicine-3","status":"publish","type":"post","link":"https:\/\/blog.ircres.cnr.it\/?p=3306","title":{"rendered":"Articolo su Internal and Emergency Medicine"},"content":{"rendered":"\n<p><a href=\"http:\/\/www.ircres.cnr.it\/index.php\/it\/falavigna\"><strong>Greta Falavigna<\/strong> <\/a>segnala l&#8217;uscita online first del suo commentary &#8220;<a rel=\"noreferrer noopener\" href=\"https:\/\/link.springer.com\/article\/10.1007\/s11739-021-02736-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst&amp;utm_source=ArticleAuthorOnlineFirst&amp;utm_medium=email&amp;utm_content=AA_en_06082018&amp;ArticleAuthorOnlineFirst_20210414#citeas\" target=\"_blank\"><strong>Deep learning algorithms with mixed data for prediction of Length of Stay<\/strong><\/a>&#8221; sulla rivista Internal and Emergency Medicine.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"194\" height=\"259\" src=\"http:\/\/blog.ircres.cnr.it\/wp-content\/uploads\/2021\/04\/internalEmergencyMedicinejpg.jpg\" alt=\"\" class=\"wp-image-3307\"\/><\/figure><\/div>\n\n\n\n<p class=\"has-cyan-bluish-gray-background-color has-background\">Falavigna, G. Deep learning algorithms with mixed data for prediction of Length of Stay. <em>Intern Emerg Med<\/em> (2021). https:\/\/doi.org\/10.1007\/s11739-021-02736-6<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Greta Falavigna segnala l&#8217;uscita online first del suo commentary &#8220;Deep learning algorithms with mixed data for prediction of Length of Stay&#8221; sulla rivista Internal and Emergency Medicine. Falavigna, G. Deep learning algorithms with mixed data for prediction of Length of Stay. Intern Emerg Med (2021). https:\/\/doi.org\/10.1007\/s11739-021-02736-6<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[5,4],"tags":[],"_links":{"self":[{"href":"https:\/\/blog.ircres.cnr.it\/index.php?rest_route=\/wp\/v2\/posts\/3306"}],"collection":[{"href":"https:\/\/blog.ircres.cnr.it\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.ircres.cnr.it\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.ircres.cnr.it\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.ircres.cnr.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3306"}],"version-history":[{"count":3,"href":"https:\/\/blog.ircres.cnr.it\/index.php?rest_route=\/wp\/v2\/posts\/3306\/revisions"}],"predecessor-version":[{"id":3310,"href":"https:\/\/blog.ircres.cnr.it\/index.php?rest_route=\/wp\/v2\/posts\/3306\/revisions\/3310"}],"wp:attachment":[{"href":"https:\/\/blog.ircres.cnr.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3306"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.ircres.cnr.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3306"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.ircres.cnr.it\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3306"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}