{"id":14,"date":"2017-05-23T09:22:01","date_gmt":"2017-05-23T07:22:01","guid":{"rendered":"http:\/\/localhost\/~paradise\/wordpress\/?page_id=8"},"modified":"2020-11-18T14:50:18","modified_gmt":"2020-11-18T12:50:18","slug":"home","status":"publish","type":"page","link":"https:\/\/temu.bsc.es\/meddocan\/","title":{"rendered":"Home"},"content":{"rendered":"\n<h2><strong>MEDDOCAN: Medical Document Anonymization Track<\/strong><\/h2>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>The&nbsp;<strong>MEDDOCAN Track<\/strong>&nbsp;is sponsored by <a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/www.plantl.gob.es\/Paginas\/index.aspx\" target=\"_blank\"><strong>Plan de Impulso de las Tecnolog\u00edas del Lenguaje (Plan TL)<\/strong><\/a>.<\/p><\/blockquote>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter is-resized\"><a href=\"https:\/\/iberlef.sepln.org\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img loading=\"lazy\" src=\"http:\/\/temu.bsc.es\/meddocan\/wp-content\/uploads\/2019\/09\/iberlef.png\" alt=\"\" class=\"wp-image-4025\" width=\"150\" height=\"150\" srcset=\"https:\/\/temu.bsc.es\/meddocan\/wp-content\/uploads\/2019\/09\/iberlef.png 600w, https:\/\/temu.bsc.es\/meddocan\/wp-content\/uploads\/2019\/09\/iberlef-150x150.png 150w, https:\/\/temu.bsc.es\/meddocan\/wp-content\/uploads\/2019\/09\/iberlef-300x300.png 300w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/a><\/figure><\/div>\n\n\n\n<p class=\"has-text-align-center\"><a href=\"https:\/\/iberlef.sepln.org\/workshop\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">IberLEF 2019 Workshop<\/a> @ <a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/hitz.eus\/sepln2019\/?language=en\" target=\"_blank\">SEPLN 2019 (Bilbao), 24th Sep 2019<\/a><\/p>\n\n\n\n<h4>Generated resources<\/h4>\n\n\n\n<ul><li>Data: <a href=\"https:\/\/doi.org\/10.5281\/zenodo.4279322\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Gold Standard (opens in a new tab)\">Gold Standard<\/a>, Silver Standard &amp; <a href=\"https:\/\/doi.org\/10.5281\/zenodo.4279337\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Annotation Guidelines (opens in a new tab)\">Annotation Guidelines<\/a><\/li><li><a href=\"http:\/\/ceur-ws.org\/Vol-2421\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Conference Proceedings (opens in a new tab)\">Conference Proceedings<\/a><\/li><\/ul>\n\n\n\n<p>Please, cite <em>Montserrat Marimon et al. \u201cAutomatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of Results.\u201d In: IberLEF@ SEPLN. 2019, pp. 618\u2013638.<\/em><\/p>\n\n\n\n<h3 id=\"schedule\"><strong>Schedule<\/strong><\/h3>\n\n\n\n<table id=\"tablepress-1\" class=\"tablepress tablepress-id-1\">\n<thead>\n<tr class=\"row-1 odd\">\n\t<th class=\"column-1\">Date<\/th><th class=\"column-2\">Event<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-hover\">\n<tr class=\"row-2 even\">\n\t<td class=\"column-1\">March 18, 2019<\/td><td class=\"column-2\">Sample set and Evaluation script released.<\/td>\n<\/tr>\n<tr class=\"row-3 odd\">\n\t<td class=\"column-1\">March 20, 2019<\/td><td class=\"column-2\">Training set released.<\/td>\n<\/tr>\n<tr class=\"row-4 even\">\n\t<td class=\"column-1\">April 4, 2019<\/td><td class=\"column-2\">Development set released.<\/td>\n<\/tr>\n<tr class=\"row-5 odd\">\n\t<td class=\"column-1\">April 29, 2019<\/td><td class=\"column-2\">Test set released (includes background set).<\/td>\n<\/tr>\n<tr class=\"row-6 even\">\n\t<td class=\"column-1\">May 17, 2019<\/td><td class=\"column-2\">End of evaluation period (system submissions).<\/td>\n<\/tr>\n<tr class=\"row-7 odd\">\n\t<td class=\"column-1\">May 20, 2019<\/td><td class=\"column-2\">Resuls posted and Test set with GS annotations released.<\/td>\n<\/tr>\n<tr class=\"row-8 even\">\n\t<td class=\"column-1\">May 31, 2019<\/td><td class=\"column-2\">Working notes paper submission.<\/td>\n<\/tr>\n<tr class=\"row-9 odd\">\n\t<td class=\"column-1\">June 14, 2019<\/td><td class=\"column-2\">Notification of acceptance (peer-reviews).<\/td>\n<\/tr>\n<tr class=\"row-10 even\">\n\t<td class=\"column-1\">June 28, 2019<\/td><td class=\"column-2\">Camera ready paper submission.<\/td>\n<\/tr>\n<tr class=\"row-11 odd\">\n\t<td class=\"column-1\">September 24, 2019<\/td><td class=\"column-2\"><a href=\"https:\/\/iberlef.sepln.org\/workshop\" rel=\"noopener\" target=\"_blank\">IberLEF 2019 Workshop<\/a>.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-1 from cache -->\n\n\n\n<h3><strong>About the task<\/strong><\/h3>\n\n\n\n<p>Clinical records with protected health information (PHI) cannot be directly shared \u201cas is\u201d, due to privacy constraints, making it particularly cumbersome to carry out NLP research in the medical domain. A necessary precondition for accessing clinical records outside of hospitals is their de-identification, i.e., the exhaustive removal, or replacement, of all mentioned PHI phrases.<\/p>\n\n\n\n<p>The practical relevance of anonymization or de-identification of clinical texts motivated the proposal of two shared tasks, the 2006 and 2014 de-identification tracks, organized under the umbrella of the i2b2 (i2b2.org) community evaluation effort. The i2b2 effort has deeply influenced the clinical NLP community worldwide, but was focused on documents in English and covering characteristics of US-healthcare data providers.<\/p>\n\n\n\n<p>As part of the IberLEF 2019 initiative we organize the first community challenge task specifically devoted to the anonymization of medical documents in Spanish, called the MEDDOCAN (Medical Document Anonymization) task.<\/p>\n\n\n\n<p>In order to carry out these tasks we have prepared a synthetic corpus of 1000 clinical case studies. This corpus was selected manually by a practicing physician and augmented with PHI information from<br>\ndischarge summaries and medical genetics clinical records.<\/p>\n\n\n\n<p>The MEDDOCAN task will be structured into two sub-tasks: <\/p>\n\n\n\n<ol><li>NER offset and entity type classification.<\/li><li>Sensitive span detection.<\/li><\/ol>\n\n\n\n<h3><strong>MEDDOCAN Corpus<\/strong><\/h3>\n\n\n\n<p>For this task, we have prepared a synthetic corpus of clinical cases enriched with PHI expressions, named the MEDDOCAN corpus. This MEDDOCAN corpus of 1,000 clinical case studies was selected manually by a practicing physician and augmented with PHI phrases by health documentalists, adding PHI information from discharge summaries and medical genetics clinical records. See an example of MEDDOCAN annotation visualized using the BRAT annotation interface in <em>Figure 1<\/em>.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter is-resized\"><img loading=\"lazy\" src=\"http:\/\/temu.bsc.es\/meddocan\/wp-content\/uploads\/2019\/03\/image-1-1024x922.png\" alt=\"\" class=\"wp-image-3540\" width=\"768\" height=\"692\" srcset=\"https:\/\/temu.bsc.es\/meddocan\/wp-content\/uploads\/2019\/03\/image-1-1024x922.png 1024w, https:\/\/temu.bsc.es\/meddocan\/wp-content\/uploads\/2019\/03\/image-1-300x270.png 300w, https:\/\/temu.bsc.es\/meddocan\/wp-content\/uploads\/2019\/03\/image-1-768x692.png 768w, https:\/\/temu.bsc.es\/meddocan\/wp-content\/uploads\/2019\/03\/image-1.png 1045w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><figcaption>Figure 1: An example of MEDDOCAN annotation visualized using the BRAT annotation interface.<\/figcaption><\/figure><\/div>\n\n\n\n<p>For more detailed information see <a href=\"http:\/\/temu.bsc.es\/meddocan\/index.php\/description-of-the-corpus\/\">Description of the Corpus<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>MEDDOCAN: Medical Document Anonymization Track The&nbsp;MEDDOCAN Track&nbsp;is sponsored by Plan de Impulso de las Tecnolog\u00edas del Lenguaje (Plan TL). IberLEF 2019 Workshop @ SEPLN 2019 (Bilbao), 24th Sep 2019 Generated resources Data: Gold Standard, Silver Standard &amp; Annotation Guidelines Conference Proceedings Please, cite Montserrat Marimon et al. \u201cAutomatic De-identification of Medical Texts in Spanish: the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/pages\/14"}],"collection":[{"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/comments?post=14"}],"version-history":[{"count":91,"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/pages\/14\/revisions"}],"predecessor-version":[{"id":4169,"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/pages\/14\/revisions\/4169"}],"wp:attachment":[{"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/media?parent=14"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}