{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T14:40:08Z","timestamp":1750516808994,"version":"3.41.0"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031958403","type":"print"},{"value":"9783031958410","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-95841-0_12","type":"book-chapter","created":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T14:13:41Z","timestamp":1750515221000},"page":"62-66","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["From Regex to Encoders: Low-Effort Negation Detection for Healthcare Data Integration in Italian Hospitals"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2887-088X","authenticated-orcid":false,"given":"Tommaso Mario","family":"Buonocore","sequence":"first","affiliation":[]},{"given":"Sonia","family":"Mognaschi","sequence":"additional","affiliation":[]},{"given":"Lorenzo","family":"Beretta","sequence":"additional","affiliation":[]},{"given":"Serena","family":"Venturelli","sequence":"additional","affiliation":[]},{"given":"Bruno","family":"Fattizzo","sequence":"additional","affiliation":[]},{"given":"Eleonora","family":"Bruschi","sequence":"additional","affiliation":[]},{"given":"Chiara","family":"Cassani","sequence":"additional","affiliation":[]},{"given":"Simone","family":"Benatti","sequence":"additional","affiliation":[]},{"given":"Sara","family":"Marinoni","sequence":"additional","affiliation":[]},{"given":"Simone","family":"Vettoretti","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9140-768X","authenticated-orcid":false,"given":"Matteo","family":"Gabetta","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,22]]},"reference":[{"issue":"2","key":"12_CR1","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1136\/jamia.2010.007237","volume":"18","author":"ST Rosenbloom","year":"2011","unstructured":"Rosenbloom, S.T., et al.: Data from clinical notes: a perspective on the tension between structure and flexible documentation. J. Am. Med. Inform. Assoc. 18(2), 181\u2013186 (2011)","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Chapman, W.W., et al.: A simple algorithm for identifying negated findings and diseases in discharge summaries. J. Biomed. Inf. 34(5) (2001)","DOI":"10.1006\/jbin.2001.1029"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Mehrabi, S., et al.: DEEPEN: a negation detection system for clinical text incorporating dependency relation into NegEx. J. Biomed. Inf. 54 (2015)","DOI":"10.1016\/j.jbi.2015.02.010"},{"key":"12_CR4","unstructured":"Chapman, W.W., et al.: Extending the NegEx lexicon for multiple languages. In: MEDINFO 2013, pp. 677\u2013681. IOS Press (2013)"},{"issue":"01","key":"12_CR5","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1055\/s-0041-1726522","volume":"30","author":"E Laparra","year":"2021","unstructured":"Laparra, E., Mascio, A., Velupillai, S., Miller, T.: A review of recent work in transfer learning and domain adaptation for natural language processing of electronic health records. Yearb. Med. Inform. 30(01), 239\u2013244 (2021)","journal-title":"Yearb. Med. Inform."},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Buonocore, T.M., Crema, C., Redolfi, A., Bellazzi, R., Parimbelli, E.: Localizing in-domain adaptation of transformer-based biomedical language models. J. Biomed. Inf. 144 (2023)","DOI":"10.1016\/j.jbi.2023.104431"},{"key":"12_CR7","unstructured":"Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the NAACL-HLT, Minneapolis, Association for Computational Linguistics (2019)"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Vincze, V., et al.: The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes. BMC Bioinf. 9 (2008)","DOI":"10.1186\/1471-2105-9-S11-S9"},{"issue":"5","key":"12_CR9","doi-asserted-by":"publisher","first-page":"552","DOI":"10.1136\/amiajnl-2011-000203","volume":"18","author":"\u00d6 Uzuner","year":"2011","unstructured":"Uzuner, \u00d6., South, B.R., Shen, S., DuVall, S.L.: 2010 i2b2\/VA challenge on concepts, assertions, and relations in clinical text. J. Am. Med. Inform. Assoc. 18(5), 552\u2013556 (2011)","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"12_CR10","unstructured":"Sundararajan, M., Taly, A., Yan, Q.: Axiomatic attribution for deep networks. In: International Conference on Machine Learning, pp. 3319\u20133328. PMLR (2017)"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-95841-0_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T14:13:43Z","timestamp":1750515223000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-95841-0_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031958403","9783031958410"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-95841-0_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"22 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"AIME","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Medicine","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pavia","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aime2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aime25.aimedicine.info\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}