{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T20:31:03Z","timestamp":1723149063113},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,11,18]],"date-time":"2021-11-18T00:00:00Z","timestamp":1637193600000},"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":[[2021,11,18]]},"abstract":"<jats:p>The important information about a patient is often stored in a free-form text to describe the events in the patient\u2019s medical history. In this work, we propose and evaluate a hybrid approach based on rules and syntactical analysis to normalise temporal expressions and assess uncertainty depending on the remoteness of the event. A dataset of 500 sentences was manually labelled to measure the accuracy. On this dataset, the accuracy of extracting temporal expressions is 95,5%, and the accuracy of normalization is 94%. The event extraction accuracy is 74.80%. The essential advantage of this work is the implementation of the considered approach for the non-English language where NLP tools are limited.<\/jats:p>","DOI":"10.3233\/shti210811","type":"book-chapter","created":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T08:58:16Z","timestamp":1637312296000},"source":"Crossref","is-referenced-by-count":1,"title":["Extraction of Temporal Structures for Clinical Events in Unlabeled Free-Text Electronic Health Records in Russian"],"prefix":"10.3233","author":[{"given":"Anastasia A.","family":"Funkner","sequence":"first","affiliation":[{"name":"ITMO University, Saint Petersburg, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dmitrii A.","family":"Zhurman","sequence":"additional","affiliation":[{"name":"ITMO University, Saint Petersburg, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sergey V.","family":"Kovalchuk","sequence":"additional","affiliation":[{"name":"ITMO University, Saint Petersburg, Russia"},{"name":"National Almazov Medical Research Centre, Saint Petersburg, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210811","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T08:58:17Z","timestamp":1637312297000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210811"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,18]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210811","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,18]]}}}