{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T00:12:22Z","timestamp":1706227942783},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684567","type":"print"},{"value":"9781643684574","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T00:00:00Z","timestamp":1706140800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,25]]},"abstract":"<jats:p>Several studies have shown that about 80% of the medical information in an electronic health record is only available through unstructured data. Resources such as medical terminologies in languages other than English are limited and restrain the NLP tools. We propose here to leverage English based resources in other languages using a combination of translation, word alignment, entity extraction and term normalization (TAXN). We implement this extraction pipeline in an open-source library called \u201cmedkit\u201d. We demonstrate the interest of this approach through a specific use-case: enriching a phenotypic dictionary for post-acute sequelae in COVID-19 (PASC). TAXN proved to be efficient to propose new synonyms of UMLS terms using a corpus of 70 articles in French with 356 terms enriched with at least one validated new synonym. This study was based on freely available deep-learning models.<\/jats:p>","DOI":"10.3233\/shti231045","type":"book-chapter","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:24:42Z","timestamp":1706178282000},"source":"Crossref","is-referenced-by-count":0,"title":["TAXN: Translate Align Extract Normalize, a Multilingual Extraction Tool for Clinical Texts"],"prefix":"10.3233","author":[{"given":"Antoine","family":"Neuraz","sequence":"first","affiliation":[{"name":"Heka Team, Inria, INSERM Centre de recherche des Cordeliers, Universit\u00e9 Paris Cit\u00e9, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivan","family":"Lerner","sequence":"additional","affiliation":[{"name":"Heka Team, Inria, INSERM Centre de recherche des Cordeliers, Universit\u00e9 Paris Cit\u00e9, Paris, France"},{"name":"Department of Biomedical Informatics, H\u00f4pital Europ\u00e9en Georges Pompidou, H\u00f4pital Necker-Enfants Malades, APHP, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olivier","family":"Birot","sequence":"additional","affiliation":[{"name":"Heka Team, Inria, INSERM Centre de recherche des Cordeliers, Universit\u00e9 Paris Cit\u00e9, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Camila","family":"Arias","sequence":"additional","affiliation":[{"name":"Heka Team, Inria, INSERM Centre de recherche des Cordeliers, Universit\u00e9 Paris Cit\u00e9, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Larry","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Clara Lea","family":"Bonzel","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianxi","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kim Tam","family":"Huynh","sequence":"additional","affiliation":[{"name":"Heka Team, Inria, INSERM Centre de recherche des Cordeliers, Universit\u00e9 Paris Cit\u00e9, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adrien","family":"Coulet","sequence":"additional","affiliation":[{"name":"Heka Team, Inria, INSERM Centre de recherche des Cordeliers, Universit\u00e9 Paris Cit\u00e9, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2023 \u2014 The Future Is Accessible"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI231045","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:24:43Z","timestamp":1706178283000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI231045"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,25]]},"ISBN":["9781643684567","9781643684574"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti231045","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,25]]}}}