{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T01:57:06Z","timestamp":1772243826581,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.3233\/shti190813","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:07:49Z","timestamp":1740139669000},"source":"Crossref","is-referenced-by-count":1,"title":["Deep Learning Approaches Outperform Conventional Strategies in De-Identification of German Medical Reports"],"prefix":"10.3233","author":[{"family":"Richter-Pechanski Phillip","sequence":"additional","affiliation":[]},{"family":"Amr Ali","sequence":"additional","affiliation":[]},{"family":"Katus Hugo A.","sequence":"additional","affiliation":[]},{"family":"Dieterich Christoph","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences: Shaping Change \u2013 Creative Solutions for Innovative Medicine"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T13:08:01Z","timestamp":1740143281000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-64368-016-3&spage=101&doi=10.3233\/SHTI190813"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti190813","relation":{"is-cited-by":[{"id-type":"doi","id":"10.1186\/s13326-021-00236-2","asserted-by":"object"}]},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2019]]}}}