{"version":"1.0","provider_name":"la Fundaci\u00f3n Eticas","provider_url":"https:\/\/dev.eticasfoundation.org\/es","author_name":"AdminEticas","author_url":"https:\/\/dev.eticasfoundation.org\/es\/author\/admineticas\/","title":"Predicting hospital patient readmission - Eticas Foundation","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"7GqRDx2NK9\"><a href=\"https:\/\/dev.eticasfoundation.org\/es\/predicting-patients-readmission-in-hospitals-queensland\/\">Predicting hospital patient readmission<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/dev.eticasfoundation.org\/es\/predicting-patients-readmission-in-hospitals-queensland\/embed\/#?secret=7GqRDx2NK9\" width=\"600\" height=\"338\" title=\"\u00abPredicting hospital patient readmission\u00bb \u2014 Eticas Foundation\" data-secret=\"7GqRDx2NK9\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";var e=!1,o=!1;if(l.querySelector)if(d.addEventListener)e=!0;if(d.wp=d.wp||{},!d.wp.receiveEmbedMessage)if(d.wp.receiveEmbedMessage=function(e){var t=e.data;if(t)if(t.secret||t.message||t.value)if(!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var r,a,i,s=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),n=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),o=new RegExp(\"^https?:$\",\"i\"),c=0;c<n.length;c++)n[c].style.display=\"none\";for(c=0;c<s.length;c++)if(r=s[c],e.source===r.contentWindow){if(r.removeAttribute(\"style\"),\"height\"===t.message){if(1e3<(i=parseInt(t.value,10)))i=1e3;else if(~~i<200)i=200;r.height=i}if(\"link\"===t.message)if(a=l.createElement(\"a\"),i=l.createElement(\"a\"),a.href=r.getAttribute(\"src\"),i.href=t.value,o.test(i.protocol))if(i.host===a.host)if(l.activeElement===r)d.top.location.href=t.value}}},e)d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",t,!1),d.addEventListener(\"load\",t,!1);function t(){if(!o){o=!0;for(var e,t,r,a=-1!==navigator.appVersion.indexOf(\"MSIE 10\"),i=!!navigator.userAgent.match(\/Trident.*rv:11\\.\/),s=l.querySelectorAll(\"iframe.wp-embedded-content\"),n=0;n<s.length;n++){if(!(r=(t=s[n]).getAttribute(\"data-secret\")))r=Math.random().toString(36).substr(2,10),t.src+=\"#?secret=\"+r,t.setAttribute(\"data-secret\",r);if(a||i)(e=t.cloneNode(!0)).removeAttribute(\"security\"),t.parentNode.replaceChild(e,t);t.contentWindow.postMessage({message:\"ready\",secret:r},\"*\")}}}}(window,document);\n<\/script>","thumbnail_url":"https:\/\/dev.eticasfoundation.org\/wp-content\/uploads\/2021\/09\/14.jpg","thumbnail_width":1280,"thumbnail_height":781,"description":"For most hospitals, a relatively small group of patients with chronic conditions make up a disproportionate amount of medical costs. One study attempted to determine if an algorithm (in this case, logistic multivariate regression) based on routine inpatient data could be used to identify the at-risk patients who are more likely to be readmitted and [&hellip;]"}