{"id":21587,"date":"2023-12-19T17:23:07","date_gmt":"2023-12-19T16:23:07","guid":{"rendered":"https:\/\/semmelweis.hu\/emk\/?p=21587"},"modified":"2023-12-19T17:28:55","modified_gmt":"2023-12-19T16:28:55","slug":"az-emk-kutatoi-gyozteskent-vettek-reszt-a-machine-learning-for-health-ml4h-konferencian","status":"publish","type":"post","link":"https:\/\/semmelweis.hu\/emk\/2023\/12\/19\/az-emk-kutatoi-gyozteskent-vettek-reszt-a-machine-learning-for-health-ml4h-konferencian\/","title":{"rendered":"Az EMK kutat\u00f3i gy\u0151ztesk\u00e9nt vettek r\u00e9szt a Machine Learning for Health (ML4H) konferenci\u00e1n"},"content":{"rendered":"<p style=\"font-weight: 400\">Az EMK kutat\u00f3i, Bed\u0151h\u00e1zi Zsolt \u00e9s Biricz Andr\u00e1s els\u0151 helyez\u00e9st \u00e9rtek el a Nightingale Open Science \u00e9s Association for Health Learning &amp; Inference (AHLI)<strong>\u00a0<\/strong>janu\u00e1ri \u00e9s m\u00e1jusi verseny\u00e9n. A nemzetk\u00f6zi adatelemz\u00e9si verseny eml\u0151daganatokb\u00f3l k\u00e9sz\u00edtett sz\u00f6veti mint\u00e1k digitaliz\u00e1lt k\u00e9peinek saj\u00e1t fejleszt\u00e9s\u0171 algoritumusokkal t\u00f6rt\u00e9n\u0151 elemz\u00e9s\u00e9r\u0151l sz\u00f3lt.<\/p>\n<p style=\"font-weight: 400\">A verseny sor\u00e1n puszt\u00e1n sz\u00f6vettani k\u00e9pek alapj\u00e1n kellett a betegs\u00e9g st\u00e1dium\u00e1t min\u00e9l nagyobb pontoss\u00e1ggal megj\u00f3solni. Ez a feladat a jelenleg \u00e9rv\u00e9nyes elj\u00e1r\u00e1si rendek szerint egy nehezen \u00e9rtelmezhet\u0151 kih\u00edv\u00e1st jelentett, ugyanis az emberi elemz\u00e9s sor\u00e1n a betegs\u00e9g st\u00e1dium\u00e1t egy komplex elemz\u00e9si elj\u00e1r\u00e1ssal \u00e1llap\u00edtj\u00e1k meg, amelyben klinikai adatokat, vizsg\u00e1lati eredm\u00e9nyeket, biopszi\u00e1t egyszerre vesznek alapul. A versenyen azonban csak az eml\u0151b\u0151l vett sz\u00f6vettani k\u00e9pek \u00e1lltak rendelkez\u00e9sre. A 130 terabyte m\u00e9ret\u0171 sz\u00f6vettani adatb\u00e1zis t\u00f6bb mint 4200 eset 72000 patol\u00f3giai metszet\u00e9t tartalmazta a 2014\u20132020-as id\u0151szakb\u00f3l, amelyet csak t\u00e1voli el\u00e9r\u00e9ssel, korl\u00e1tozott k\u00f6r\u00fclm\u00e9nyek k\u00f6z\u00f6tt lehetett elemezni.<\/p>\n<p style=\"font-weight: 400\">A verseny mindk\u00e9t f\u00e1zis\u00e1ban els\u0151 helyet szerezve, Bed\u0151h\u00e1zi Zsolt \u00e9s Biricz Andr\u00e1s csapata megh\u00edv\u00e1st nyert a New Orleans v\u00e1ros\u00e1ban (USA) megrendezett Machine Learning for Health (ML4H) konferenci\u00e1ra, hogy poszter form\u00e1j\u00e1ban bemutass\u00e1k a gy\u0151ztes megold\u00e1saikat. Az ML4H a g\u00e9pi tanul\u00e1s kutat\u00f3inak, klinikusoknak \u00e9s eg\u00e9szs\u00e9g\u00fcgyi adatszak\u00e9rt\u0151knek rendezett konferencia, amely kiv\u00e1l\u00f3 f\u00f3rumot biztos\u00edt a legfrissebb fejleszt\u00e9sek \u00e9s eredm\u00e9nyek bemutat\u00e1s\u00e1ra.<\/p>\n<p><a href=\"https:\/\/semmelweis.hu\/emk\/files\/2023\/12\/ML4H1_j.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-21585 size-large\" src=\"https:\/\/semmelweis.hu\/emk\/files\/2023\/12\/ML4H1_j-747x1024.jpg\" alt=\"\" width=\"747\" height=\"1024\" srcset=\"https:\/\/semmelweis.hu\/emk\/files\/2023\/12\/ML4H1_j-747x1024.jpg 747w, https:\/\/semmelweis.hu\/emk\/files\/2023\/12\/ML4H1_j-292x400.jpg 292w, https:\/\/semmelweis.hu\/emk\/files\/2023\/12\/ML4H1_j-768x1052.jpg 768w, https:\/\/semmelweis.hu\/emk\/files\/2023\/12\/ML4H1_j-753x1032.jpg 753w, https:\/\/semmelweis.hu\/emk\/files\/2023\/12\/ML4H1_j.jpg 800w\" sizes=\"auto, (max-width: 747px) 100vw, 747px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Az EMK kutat\u00f3i, Bed\u0151h\u00e1zi Zsolt \u00e9s Biricz Andr\u00e1s els\u0151 helyez\u00e9st \u00e9rtek el a Nightingale Open Science \u00e9s Association for Health Learning &amp; Inference (AHLI)\u00a0janu\u00e1ri \u00e9s m\u00e1jusi verseny\u00e9n. A nemzetk\u00f6zi adatelemz\u00e9si verseny eml\u0151daganatokb\u00f3l k\u00e9sz\u00edtett sz\u00f6veti mint\u00e1k digitaliz\u00e1lt k\u00e9peinek saj\u00e1t fejleszt\u00e9s\u0171 algoritumusokkal t\u00f6rt\u00e9n\u0151 elemz\u00e9s\u00e9r\u0151l sz\u00f3lt. A verseny sor\u00e1n puszt\u00e1n sz\u00f6vettani k\u00e9pek alapj\u00e1n kellett a betegs\u00e9g st\u00e1dium\u00e1t min\u00e9l &hellip;<\/p>\n","protected":false},"author":101539,"featured_media":21585,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[6],"tags":[],"class_list":["post-21587","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hirek"],"acf":[],"_links":{"self":[{"href":"https:\/\/semmelweis.hu\/emk\/wp-json\/wp\/v2\/posts\/21587","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/semmelweis.hu\/emk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/semmelweis.hu\/emk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/emk\/wp-json\/wp\/v2\/users\/101539"}],"replies":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/emk\/wp-json\/wp\/v2\/comments?post=21587"}],"version-history":[{"count":4,"href":"https:\/\/semmelweis.hu\/emk\/wp-json\/wp\/v2\/posts\/21587\/revisions"}],"predecessor-version":[{"id":21591,"href":"https:\/\/semmelweis.hu\/emk\/wp-json\/wp\/v2\/posts\/21587\/revisions\/21591"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/emk\/wp-json\/wp\/v2\/media\/21585"}],"wp:attachment":[{"href":"https:\/\/semmelweis.hu\/emk\/wp-json\/wp\/v2\/media?parent=21587"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/semmelweis.hu\/emk\/wp-json\/wp\/v2\/categories?post=21587"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/semmelweis.hu\/emk\/wp-json\/wp\/v2\/tags?post=21587"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}