{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T14:08:19Z","timestamp":1749046099541,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643683881"},{"type":"electronic","value":"9781643683898"}],"license":[{"start":{"date-parts":[[2023,5,18]],"date-time":"2023-05-18T00:00:00Z","timestamp":1684368000000},"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":[[2023,5,18]]},"abstract":"<jats:p>Using electronic health records data and machine learning to guide future decisions needs to address challenges, including 1) long\/short-term dependencies and 2) interactions between diseases and interventions. Bidirectional transformers have effectively addressed the first challenge. Here we tackled the latter challenge by masking one source (e.g., ICD10 codes) and training the transformer to predict it using other sources (e.g., ATC codes).<\/jats:p>","DOI":"10.3233\/shti230217","type":"book-chapter","created":{"date-parts":[[2023,5,19]],"date-time":"2023-05-19T04:45:44Z","timestamp":1684471544000},"source":"Crossref","is-referenced-by-count":1,"title":["A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1999-8435","authenticated-orcid":false,"given":"Ali","family":"Amirahmadi","sequence":"first","affiliation":[{"name":"Center for Applied Intelligent Systems Research, Halmstad University, Sweden"}]},{"given":"Mattias","family":"Ohlsson","sequence":"additional","affiliation":[{"name":"Center for Applied Intelligent Systems Research, Halmstad University, Sweden"},{"name":"Centre for Environmental and Climate Science, Lund University, Sweden"}]},{"given":"Kobra","family":"Etminani","sequence":"additional","affiliation":[{"name":"Center for Applied Intelligent Systems Research, Halmstad University, Sweden"}]},{"given":"Olle","family":"Melander","sequence":"additional","affiliation":[{"name":"Division of Occupational and Environmental Medicine, Lund University, Sweden"}]},{"given":"Jonas","family":"Bj\u00f6rk","sequence":"additional","affiliation":[{"name":"Department of Clinical Sciences, Lund University, Sweden"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Caring is Sharing \u2013 Exploiting the Value in Data for Health and Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230217","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T10:59:44Z","timestamp":1685530784000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230217"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,18]]},"ISBN":["9781643683881","9781643683898"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230217","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2023,5,18]]}}}