{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:22:07Z","timestamp":1740169327510,"version":"3.37.3"},"reference-count":17,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62162060"],"award-info":[{"award-number":["62162060"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3192866","type":"journal-article","created":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T19:31:31Z","timestamp":1658431891000},"page":"77375-77382","source":"Crossref","is-referenced-by-count":4,"title":["Named Entity Recognition for Chinese Electronic Medical Records Based on Multitask and Transfer Learning"],"prefix":"10.1109","volume":"10","author":[{"given":"Wenming","family":"Guo","sequence":"first","affiliation":[{"name":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4893-0720","authenticated-orcid":false,"given":"Junda","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"}]},{"given":"Fang","family":"Han","sequence":"additional","affiliation":[{"name":"Xinjiang Institute of Engineering, Urumqi, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-017-0468-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2196\/medinform.9965"},{"key":"ref3","article-title":"Bidirectional LSTM-CRF models for sequence tagging","volume-title":"arXiv:1508.01991","author":"Huang","year":"2015"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11767-006-0255-6"},{"key":"ref5","first-page":"7","article-title":"DUTIR at the CCKS-2018 task1: A neural network ensemble approach for Chinese clinical named entity recognition","volume-title":"Proc. CCKS Tasks","author":"Luo"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2196\/19848"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1144"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2751523"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2812203"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-017-1776-8"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty869"},{"issue":"10","key":"ref12","first-page":"222","article-title":"Named entity recognition in electronic medical records with fused attention mechanism","volume":"282","author":"Chen","year":"2020","journal-title":"Comput. Technol. Develop."},{"issue":"20","key":"ref13","first-page":"3237","article-title":"Recognition model of named entities in electronic medical records based on bidirectional LSTM neural network","volume":"22","author":"Yang","year":"2018","journal-title":"Chin. Tissue Eng. Res."},{"issue":"10","key":"ref14","first-page":"1943","article-title":"Named entity recognition for Chinese electronic medical records based on stroke ELMo and multi-task learning","volume":"43","author":"Ling","year":"2020","journal-title":"J. Comput. Sci."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.psychres.2021.114135"},{"key":"ref16","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"arXiv:1810.04805","author":"Devlin","year":"2018"},{"volume-title":"Improving Language Understanding by Generative Pre-Training","year":"2018","author":"Radford","key":"ref17"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09834941.pdf?arnumber=9834941","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T06:28:01Z","timestamp":1706768881000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9834941\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3192866","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2022]]}}}