{"id":1823,"date":"2026-03-24T08:17:11","date_gmt":"2026-03-24T08:17:11","guid":{"rendered":"https:\/\/cloudlab.urv.cat\/catedracloud\/?p=1823"},"modified":"2026-03-24T11:22:19","modified_gmt":"2026-03-24T11:22:19","slug":"hackato-ia-urv-tsystems-2026-medrisk-pro","status":"publish","type":"post","link":"https:\/\/cloudlab.urv.cat\/catedracloud\/2026\/03\/24\/hackato-ia-urv-tsystems-2026-medrisk-pro\/","title":{"rendered":"Hackat\u00f3 IA URV-TSystems 2026: MedRisk Pro"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<div class=\"wp-block-uagb-image uagb-block-2a4db313 wp-block-uagb-image--layout-default wp-block-uagb-image--effect-static wp-block-uagb-image--align-none\"><figure class=\"wp-block-uagb-image__figure\"><img decoding=\"async\" srcset=\"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-content\/uploads\/2026\/03\/D81_3498-1024x819.jpg ,https:\/\/cloudlab.urv.cat\/catedracloud\/wp-content\/uploads\/2026\/03\/D81_3498.jpg 780w, https:\/\/cloudlab.urv.cat\/catedracloud\/wp-content\/uploads\/2026\/03\/D81_3498.jpg 360w\" sizes=\"auto, (max-width: 480px) 150px\" src=\"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-content\/uploads\/2026\/03\/D81_3498-1024x819.jpg\" alt=\"\" class=\"uag-image-1824\" width=\"2048\" height=\"1638\" title=\"D81_3498\" loading=\"lazy\" role=\"img\"\/><\/figure><\/div>\n\n\n\n<p>MedRisk Pro transforma historials m\u00e8dics complexos en decisions accionables. Mitjan\u00e7ant IA i models CatBoost, prediu la demanda d&#8217;urg\u00e8ncies i el risc vital de pacients cr\u00f2nics, oferint explicabilitat cl\u00ednica transparent i una interf\u00edcie 100% accessible i inclusiva per a tots els professionals i pacients.<\/p>\n\n\n\n<p><strong>Nom Grup: <\/strong>A\u00f1aska<\/p>\n\n\n\n<p><strong>Entitat del repte: <\/strong>Hospital Universitari Joan XXIII<\/p>\n\n\n\n<p><strong>Integrants:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Ivan Carayol Rodr\u00edguez (<a>petauritos@gmail.com<\/a>)<\/li>\n\n\n\n<li>Samuel Enrique Murillo Castro (<a>samuem.c1@gmail.com<\/a>)<\/li>\n\n\n\n<li>Marc Rozas Bellido (<a>marcrozas05@gmail.com<\/a>)<\/li>\n\n\n\n<li>Aleix Seg\u00fa Rabas\u00f3 (<a>segualeix@gmail.com<\/a>)<\/li>\n<\/ul>\n\n\n\n<p><strong>Nom Projecte:<\/strong> MedRisk Pro<\/p>\n\n\n\n<p><strong>Descripci\u00f3: <\/strong>MedRisk Pro \u00e9s un sistema de suport a la decisi\u00f3 m\u00e8dica integral que ataca la saturaci\u00f3 del sistema sanitari mitjan\u00e7ant la proactivitat. El nucli del projecte resideix en la fusi\u00f3 de dues tecnologies d&#8217;avantguarda: un <strong>LLM (Mistral-7B)<\/strong> local que actua com a analista de notes m\u00e8diques, i tres <strong>arbres de decisi\u00f3 d&#8217;alta precisi\u00f3 (CatBoost)<\/strong> optimitzats amb <strong>Optuna<\/strong>. El prototip permet als facultatius introduir casos mitjan\u00e7ant text o dictat per veu. El sistema extreu diagn\u00f2stics i variables de manera autom\u00e0tica per realitzar una predicci\u00f3 en temps real sobre la mortalitat anual, les visites esperades a urg\u00e8ncies i el perfil de cronicitat complexa (PCC). A difer\u00e8ncia d&#8217;altres sistemes, <strong>MedRisk Pro no \u00e9s una &#8220;caixa negra&#8221;<\/strong>: s&#8217;han integrat valors de <strong>SHAP<\/strong> per explicar exactament quins factors del pacient estan influint en el risc. A m\u00e9s de l&#8217;efici\u00e8ncia cl\u00ednica, el projecte posa un focus especial en la <strong>equitat social i la inclusi\u00f3<\/strong>. S&#8217;han implementat controls d&#8217;accessibilitat universal (alt contrast, fonts per a disl\u00e8xia, TTS per a ceguesa) i l&#8217;algoritme analitza proactivament determinants socials com la soledat no desitjada o els biaixos de g\u00e8nere en patologies cardiovasculars, recomanant la intervenci\u00f3 de treballadors socials quan \u00e9s necessari. El despliegue \u00e9s modular, funcionant tant en servidors locals (Homelab) com via Docker en entorns hospitalaris amb GPU.<\/p>\n\n\n\n<p><strong>Reptes abordats:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Detecci\u00f3 Preco\u00e7 de Riscos<\/strong>: Anticipaci\u00f3 al frac\u00e0s cl\u00ednic o mort del pacient.<\/li>\n\n\n\n<li><strong>Identificaci\u00f3 de Cr\u00f2nics Ocultos<\/strong>: Trobar pacients amb perfil PCC que no estan formalment diagnosticats per optimitzar recursos.<\/li>\n\n\n\n<li><strong>Automatitzaci\u00f3 de Dades M\u00e8diques<\/strong>: Conversi\u00f3 de text lliure no estructurat en dades clin\u00edques gestion<\/li>\n<\/ul>\n\n\n\n<p><strong>Tecnologies utilitzades:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Llenguatges de programaci\u00f3<\/strong>: Python 3.11, JavaScript (React.js), Bash.<\/li>\n\n\n\n<li><strong>Frameworks i llibreries<\/strong>:\n<ul class=\"wp-block-list\">\n<li><strong>Backend<\/strong>: FastAPI, Uvicorn (servidor web).<\/li>\n\n\n\n<li><strong>Machine Learning<\/strong>: CatBoost, Scikit-learn, Optuna (optimitzaci\u00f3 de models).<\/li>\n\n\n\n<li><strong>NLP<\/strong>: Ollama SDK (integraci\u00f3 amb Mistral-7B).<\/li>\n\n\n\n<li><strong>Frontend<\/strong>: Vite, React hooks, Web Speech API (dictat i veu).<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Eines i plataformes<\/strong>: Docker, Docker Compose, Git, NVIDIA CUDA (acceleraci\u00f3 per GPU), HomeLab servers.<\/li>\n<\/ul>\n\n\n\n<p><strong>Recursos del Projecte:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Github:<\/strong> <a href=\"https:\/\/github.com\/IvanCarayol\/HackatonURV_2026\">https:\/\/github.com\/IvanCarayol\/HackatonURV_2026<\/a><\/li>\n\n\n\n<li><strong>V\u00eddeo: <\/strong><a href=\"https:\/\/drive.google.com\/file\/d\/1W9Z0cWYQOY6aAXlK3mA1OE3AX1y3cpIP\/view?usp=sharing\">https:\/\/drive.google.com\/file\/d\/1W9Z0cWYQOY6aAXlK3mA1OE3AX1y3cpIP\/view?usp=sharing<\/a><\/li>\n\n\n\n<li><strong>Presentaci\u00f3: <\/strong><a href=\"https:\/\/rovira-my.sharepoint.com\/:b:\/g\/personal\/52460503-x_epp_urv_cat\/IQAD9utsfZFqQYDJ57HIyhIhARDMW7_Xaw4lu4VZnHCTDVw?e=uy1IOv\">https:\/\/rovira-my.sharepoint.com\/:b:\/g\/personal\/52460503-x_epp_urv_cat\/IQAD9utsfZFqQYDJ57HIyhIhARDMW7_Xaw4lu4VZnHCTDVw?e=uy1IOv<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>Acc\u00e9s a la resta de projectes de la Hackat\u00f3 d&#8217;IA 2026:<\/strong> <a href=\"https:\/\/cloudlab.urv.cat\/catedracloud\/hackato2026\/\">https:\/\/cloudlab.urv.cat\/catedracloud\/hackato2026\/<\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>MedRisk Pro transforma historials m\u00e8dics complexos en decisions accionables. Mitjan\u00e7ant IA i models CatBoost, prediu la demanda d&#8217;urg\u00e8ncies i el risc vital de pacients cr\u00f2nics, oferint explicabilitat cl\u00ednica transparent i una interf\u00edcie 100% accessible i inclusiva per a tots els professionals i pacients. Nom Grup: A\u00f1aska Entitat del repte: Hospital Universitari Joan XXIII Integrants: Nom [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":1820,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_swt_meta_header_display":false,"_swt_meta_footer_display":false,"_swt_meta_site_title_display":false,"_swt_meta_sticky_header":false,"_swt_meta_transparent_header":false,"footnotes":""},"categories":[113,94,39],"tags":[],"class_list":["post-1823","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cloud-computing","category-hackathon","category-ia"],"jetpack_featured_media_url":"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-content\/uploads\/2026\/03\/Captura_de_pantalla_2026-03-21_163139.png","uagb_featured_image_src":{"full":["https:\/\/cloudlab.urv.cat\/catedracloud\/wp-content\/uploads\/2026\/03\/Captura_de_pantalla_2026-03-21_163139.png",1912,873,false],"thumbnail":["https:\/\/cloudlab.urv.cat\/catedracloud\/wp-content\/uploads\/2026\/03\/Captura_de_pantalla_2026-03-21_163139-150x150.png",150,150,true],"medium":["https:\/\/cloudlab.urv.cat\/catedracloud\/wp-content\/uploads\/2026\/03\/Captura_de_pantalla_2026-03-21_163139-300x137.png",300,137,true],"medium_large":["https:\/\/cloudlab.urv.cat\/catedracloud\/wp-content\/uploads\/2026\/03\/Captura_de_pantalla_2026-03-21_163139-768x351.png",768,351,true],"large":["https:\/\/cloudlab.urv.cat\/catedracloud\/wp-content\/uploads\/2026\/03\/Captura_de_pantalla_2026-03-21_163139-1024x468.png",1024,468,true],"1536x1536":["https:\/\/cloudlab.urv.cat\/catedracloud\/wp-content\/uploads\/2026\/03\/Captura_de_pantalla_2026-03-21_163139-1536x701.png",1536,701,true],"2048x2048":["https:\/\/cloudlab.urv.cat\/catedracloud\/wp-content\/uploads\/2026\/03\/Captura_de_pantalla_2026-03-21_163139.png",1912,873,false]},"uagb_author_info":{"display_name":"Carlos Molina","author_link":"https:\/\/cloudlab.urv.cat\/catedracloud\/author\/carlos-molina\/"},"uagb_comment_info":0,"uagb_excerpt":"MedRisk Pro transforma historials m\u00e8dics complexos en decisions accionables. Mitjan\u00e7ant IA i models CatBoost, prediu la demanda d&#8217;urg\u00e8ncies i el risc vital de pacients cr\u00f2nics, oferint explicabilitat cl\u00ednica transparent i una interf\u00edcie 100% accessible i inclusiva per a tots els professionals i pacients. Nom Grup: A\u00f1aska Entitat del repte: Hospital Universitari Joan XXIII Integrants: Nom&hellip;","_links":{"self":[{"href":"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-json\/wp\/v2\/posts\/1823","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-json\/wp\/v2\/comments?post=1823"}],"version-history":[{"count":6,"href":"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-json\/wp\/v2\/posts\/1823\/revisions"}],"predecessor-version":[{"id":1897,"href":"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-json\/wp\/v2\/posts\/1823\/revisions\/1897"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-json\/wp\/v2\/media\/1820"}],"wp:attachment":[{"href":"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-json\/wp\/v2\/media?parent=1823"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-json\/wp\/v2\/categories?post=1823"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cloudlab.urv.cat\/catedracloud\/wp-json\/wp\/v2\/tags?post=1823"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}