{"id":25356,"date":"2023-06-21T12:11:46","date_gmt":"2023-06-21T10:11:46","guid":{"rendered":"https:\/\/www.ita.es\/caso-de-exito\/ai4eu-colonlp\/"},"modified":"2025-03-12T13:48:45","modified_gmt":"2025-03-12T12:48:45","slug":"ai4eu-colonlp","status":"publish","type":"caso_de_exito","link":"https:\/\/www.ita.es\/en\/case-studies\/ai4eu-colonlp\/","title":{"rendered":"AI4EU &#8211; COLONLP"},"content":{"rendered":"\n<div class=\"wp-block-columns is-style-columns-margen-estrecho is-layout-flex wp-container-core-columns-is-layout-1 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:64%\">\n<p class=\"is-style-paragrafo-destacado-sin-borde\">Transformers &amp; Graph Algorithms against colon cancer (AI4EU &#8211; ColoNLP)<\/p>\n\n\n\n<p>Development of a tool that, given a free medical text, using natural language processing (NLP) techniques, is able to automatically extract and identify ICD-10 diagnosis and procedure codes.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:36%\">\r\n    <!-- block: caso-exito-informacion -->\r\n    <section class=\"block-caso-exito-informacion \">\r\n        <div class=\"stell-rht\">\r\n            <div class=\"mov-but\">\r\n                                    <a class=\"lim-btn-blue\" href=\"https:\/\/www.ita.es\/en\/scopes\/intelligent-health\/\">\r\n                        Intelligent health                    <\/a>\r\n\t\t\t\t\t<script>\r\n\t\t\t\t\t\twindow.dataLayer = window.dataLayer || [];\r\n\t\t\t\t\t\tdataLayer.push({\r\n\t\t\t\t\t\t\t'tag':  \"Intelligent health\"\r\n\t\t\t\t\t\t});\r\n\t\t\t\t\t\twindow.dataLayer.push({event: 'etiqueta'});\r\n\t\t\t\t\t<\/script> \r\n                            <\/div>\r\n            <div class=\"st-logo\">\r\n                <h3>AI4EU \u2013 COLONLP<\/h3>\r\n                            <\/div>\r\n            \r\n            \r\n                    <\/div>\r\n    <\/section>\r\n    <!-- end block: caso-exito-informacion -->\r\n<\/div>\n<\/div>\n\n<div class=\"wp-block-columns is-style-columns-margen-estrecho is-layout-flex wp-container-core-columns-is-layout-2 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Problem<\/h2>\n\n\n\n<p>The ultimate goal is to help, with the extraction of ICD-10 codes and in combination with molecular characteristics, to improve the algorithm available to Amadix for the prediction of colorectal cancer and to identify the population at high risk for colorectal cancer.<\/p>\n<\/div>\n<\/div>\n\r\n    <!-- block: caso-exito-banner -->\r\n        <!-- end block: caso-exito-banner -->\r\n\n<div class=\"wp-block-columns is-style-columns-margen-estrecho is-layout-flex wp-container-core-columns-is-layout-3 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Results<\/h2>\n\n\n\n<p>The main idea is, using natural language processing (NLP) techniques focused on the Spanish language, to identify on these documents what other pathologies the patients suffer from and map them into the ICD-10 codes, which are standard codes for diseases and procedures, and to identify different comorbidities that could affect the development of colorectal cancer. Once the clinical records have been analyzed to obtain the data, these data will be combined with the results of the blood tests developed by AMADIX, to create Artificial Intelligence based models that allow:<\/p>\n\n\n\n<ul class=\"is-style-lista-puntos-azules wp-block-list\">\n<li>Generate action plans aimed at the target population to prevent colorectal cancer or detect it at an early stage.<\/li>\n\n\n\n<li>To identify potential profiles of people at high risk of developing cancer in its early stages and thereby reduce treatment costs and reduce the risk of death.<\/li>\n\n\n\n<li>Centralize information to generate statistics and detect problems more quickly.<\/li>\n<\/ul>\n\n\n\n<p class=\"is-style-paragrafo-pequeno\"><\/p>\n\n\n\n<figure class=\"wp-block-video\"><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"729\" height=\"152\" src=\"https:\/\/www.ita.es\/wp-content\/uploads\/2023\/07\/H2020_-COLON-NLP.jpg\" alt=\"\" class=\"wp-image-15863\" srcset=\"https:\/\/www.ita.es\/wp-content\/uploads\/2023\/07\/H2020_-COLON-NLP.jpg 729w, https:\/\/www.ita.es\/wp-content\/uploads\/2023\/07\/H2020_-COLON-NLP-300x63.jpg 300w\" sizes=\"auto, (max-width: 729px) 100vw, 729px\" \/><\/figure>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Transformers &amp; Graph Algorithms against colon cancer (AI4EU &#8211; ColoNLP) Development of a tool that, given a free medical text, using natural language processing (NLP) techniques, is able to automatically extract and identify ICD-10 diagnosis and procedure codes. Problem The ultimate goal is to help, with the extraction of ICD-10 codes and in combination with [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-25356","caso_de_exito","type-caso_de_exito","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.7 (Yoast SEO v24.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI4EU - COLONLP - ITA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ita.es\/en\/case-studies\/ai4eu-colonlp\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI4EU - COLONLP\" \/>\n<meta property=\"og:description\" content=\"Transformers &amp; Graph Algorithms against colon cancer (AI4EU &#8211; ColoNLP) Development of a tool that, given a free medical text, using natural language processing (NLP) techniques, is able to automatically extract and identify ICD-10 diagnosis and procedure codes. 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