{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:48:26Z","timestamp":1742914106068,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030772109"},{"type":"electronic","value":"9783030772116"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-77211-6_52","type":"book-chapter","created":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T23:06:27Z","timestamp":1623107187000},"page":"438-443","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Customized Neural Predictive Medical Text: A Use-Case on Caregivers"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9188-7425","authenticated-orcid":false,"given":"John","family":"Pavlopoulos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Panagiotis","family":"Papapetrou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,8]]},"reference":[{"key":"52_CR1","unstructured":"Dauphin, Y.N., Fan, A., Auli, M., Grangier, D.: Language modeling with gated convolutional networks. In: Proceedings of the 34th International Conference on Machine Learning-Volume 70, pp. 933\u2013941. JMLR.org (2017)"},{"issue":"5","key":"52_CR2","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1148\/rg.245035197","volume":"24","author":"J Eng","year":"2004","unstructured":"Eng, J., Eisner, J.M.: Radiology report entry with automatic phrase completion driven by language modeling. Radiographics 24(5), 1493\u20131501 (2004)","journal-title":"Radiographics"},{"key":"52_CR3","doi-asserted-by":"crossref","unstructured":"Gel\u0161vartas, J., Simutis, R., Maskeli\u016bnas, R.: User adaptive text predictor for mentally disabled Huntington\u2019s patients. Intell. Neurosci. 2016 (2016)","DOI":"10.1155\/2016\/3054258"},{"issue":"6526","key":"52_CR4","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1126\/science.abd7331","volume":"371","author":"B Hie","year":"2021","unstructured":"Hie, B., Zhong, E.D., Berger, B., Bryson, B.: Learning the language of viral evolution and escape. Science 371(6526), 284\u2013288 (2021)","journal-title":"Science"},{"issue":"8","key":"52_CR5","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"52_CR6","doi-asserted-by":"publisher","first-page":"160035","DOI":"10.1038\/sdata.2016.35","volume":"3","author":"A Johnson","year":"2016","unstructured":"Johnson, A., et al.: MIMIC-III, a freely accessible critical care database. Scientific Data 3, 160035 (2016)","journal-title":"Scientific Data"},{"key":"52_CR7","unstructured":"Patrick, J., Sabbagh, M., Jain, S., Zheng, H.: Spelling correction in clinical notes with emphasis on first suggestion accuracy. In: 2nd Workshop on Building and Evaluating Resources for Biomedical Text Mining, pp. 1\u20138 (2010)"},{"key":"52_CR8","doi-asserted-by":"crossref","unstructured":"Pavlopoulos, J., Papapetrou, P.: Clinical predictive keyboard using statistical and neural language modeling. In: 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), pp. 293\u2013296. IEEE (2020)","DOI":"10.1109\/CBMS49503.2020.00062"},{"key":"52_CR9","doi-asserted-by":"crossref","unstructured":"Spithourakis, G.P., Petersen, S.E., Riedel, S.: Clinical text prediction with numerically grounded conditional language models. arXiv preprint arXiv:1610.06370 (2016)","DOI":"10.18653\/v1\/W16-6102"},{"key":"52_CR10","doi-asserted-by":"crossref","unstructured":"Yazdani, A., Ghazisaeedi, M., Ahmadinejad, N., Giti, M., Amjadi, H., Nahvijou, A.: Automated misspelling detection and correction in Persian clinical text. J. Digital Imag. 1\u20138 (2019)","DOI":"10.1007\/s10278-019-00296-y"},{"issue":"1","key":"52_CR11","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1007\/s13755-019-0065-5","volume":"7","author":"A Yazdani","year":"2019","unstructured":"Yazdani, A., Safdari, R., Golkar, A., Kalhori, S.R.N.: Words prediction based on n-gram model for free-text entry in electronic health records. Health Inf. Sci. Syst. 7(1), 6 (2019)","journal-title":"Health Inf. Sci. Syst."}],"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\/978-3-030-77211-6_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T10:08:32Z","timestamp":1706695712000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-77211-6_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030772109","9783030772116"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-77211-6_52","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"8 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aime2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/aime21.aimedicine.info\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}