1.0Instituto de Ingeniería del Conocimientohttps://www.iic.uam.es/enInstituto de Ingeniería del Conocimientohttps://www.iic.uam.es/en/author/andres/rich600338<blockquote class="wp-embedded-content" data-secret="7zqOMca5S4"><a href="https://www.iic.uam.es/en/big-data-services/healthcare-environment/digna-en/">DIGNA</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.iic.uam.es/en/big-data-services/healthcare-environment/digna-en/embed/#?secret=7zqOMca5S4" width="600" height="338" title="“DIGNA” — Instituto de Ingeniería del Conocimiento" data-secret="7zqOMca5S4" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript"> /* <![CDATA[ */ /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); /* ]]> */ </script> [vc_row type=”full_width_section” top_padding=”-10″][vc_column width=”1/1″][vc_column_text][/vc_column_text][/vc_column][/vc_row][vc_row top_padding=”30″ bottom_padding=”60″][vc_column animation=”fade-in-from-bottom” width=”1/1″][vc_column_text] Nowadays it is indispensable for Healthcare professionals to count on prediction applications that help medical professionals improve patients care and, consequently, their health, besides optimizing healthcare resources to get a more efficient clinical management. [/vc_column_text][/vc_column][/vc_row][vc_row bg_color=”#f7f7f7″ top_padding=”40″ bottom_padding=”20″][vc_column animation=”fade-in-from-left” width=”1/2″][vc_column_text] What is DIGNA?[/vc_column_text][vc_column_text] DIGNA is an intelligent alerts system providing support to medical specialists for the development of protocols, early diagnosis, prognosis of the evolution of diseases, and planning of treatments for their patients. DIGNA allows creating instances for different medical conditions. This system is based on applying descriptive analytical techniques to infer prognosis in the form of recommendations, and set an early detection alert system. [/vc_column_text][/vc_column][vc_column animation=”fade-in-from-left” width=”1/2″][vc_column_text] How does DIGNA work?[/vc_column_text][vc_column_text] DIGNA has essential functionalities implemented for collecting, processing and visualizing medical information from heterogeneous data sources. The web interface of the management system offers a controlled access through password with safe protocol, and data can be recorded and descriptive reports created automatically. On the basis of the data previously gathered, machine learning techniques are applied on the prediction module to get suggestions on diagnosis and create individual alerts if necessary. Finally, healthcare professionals will judge and validate these alerts. […]