{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:14:42Z","timestamp":1750220082413,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T00:00:00Z","timestamp":1642723200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,1,21]]},"DOI":"10.1145\/3523286.3524517","type":"proceedings-article","created":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T22:26:24Z","timestamp":1654035984000},"page":"65-71","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Building Structured Patient Follow-up Records from Chinese Medical Records via Deep Learning"],"prefix":"10.1145","author":[{"given":"Sizhou","family":"Zhang","sequence":"first","affiliation":[{"name":"Klilala Group, China"}]},{"given":"Zhihong","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Computing Science and Technology, Guangzhou University, China"}]},{"given":"Dejian","family":"Liu","sequence":"additional","affiliation":[{"name":"Klilala Group, China"}]},{"given":"Qing","family":"Lv","sequence":"additional","affiliation":[{"name":"Department of Breast Surgery, Sichuan University, China"}]}],"member":"320","published-online":{"date-parts":[[2022,5,31]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2012.05.017"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3054479"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1200\/CCI.20.00173"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-50252-6_2"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-4185-5"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CISP-BMEI48845.2019.8965823"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2013-002381"},{"key":"e_1_3_2_1_8_1","volume-title":"City","author":"Zhao L.","year":"2018","unstructured":"Zhao , L. and Jia , K . Application of CRNN Based OCR in Health Records System . City , 2018 . Zhao, L. and Jia, K. Application of CRNN Based OCR in Health Records System. City, 2018."},{"key":"e_1_3_2_1_9_1","first-page":"01","article-title":"Extracting Medical Information from Paper COVID-19 Assessment Forms","volume":"12","author":"White-Dzuro C. G.","year":"2021","unstructured":"White-Dzuro , C. G. , Schultz , J. D. , Ye , C. , Coco , J. R. , Myers , J. M. , Shackelford , C. , Rosenbloom , S. T. and Fabbri , D . Extracting Medical Information from Paper COVID-19 Assessment Forms . Applied Clinical Informatics , 12 , 01 ( 2021 ), 170-178. White-Dzuro, C. G., Schultz, J. D., Ye, C., Coco, J. R., Myers, J. M., Shackelford, C., Rosenbloom, S. T. and Fabbri, D. Extracting Medical Information from Paper COVID-19 Assessment Forms. Applied Clinical Informatics, 12, 01 (2021), 170-178.","journal-title":"Applied Clinical Informatics"},{"key":"e_1_3_2_1_10_1","first-page":"2","article-title":"Intelligent recognition of named entity in electronic medical records","volume":"30","author":"Feng Y.","year":"2011","unstructured":"Feng , Y. , Ying-Ying , C. , Gen-Gui , Z. , Wen , L. and Ying , L . Intelligent recognition of named entity in electronic medical records . Chinese Journal of Biomedical Engineering , 30 , 2 ( 2011 ), 256-262. Feng, Y., Ying-Ying, C., Gen-Gui, Z., Wen, L. and Ying, L. Intelligent recognition of named entity in electronic medical records. Chinese Journal of Biomedical Engineering, 30, 2 (2011), 256-262.","journal-title":"Chinese Journal of Biomedical Engineering"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/NYSDS.2016.7747810"},{"key":"e_1_3_2_1_12_1","volume-title":"An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition","author":"Shi B.","year":"2016","unstructured":"Shi , B. , Bai , X. and Yao , C . An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition . IEEE transactions on pattern analysis and machine intelligence, 39, 11 ( 2016 ), 2298-2304. Shi, B., Bai, X. and Yao, C. An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition. IEEE transactions on pattern analysis and machine intelligence, 39, 11 (2016), 2298-2304."},{"key":"e_1_3_2_1_13_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin J.","year":"2018","unstructured":"Devlin , J. , Chang , M.-W. , Lee , K. and Toutanova , K . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 ( 2018 ). Devlin, J., Chang, M.-W., Lee, K. and Toutanova, K. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_14_1","volume-title":"City","author":"Liao M.","year":"2020","unstructured":"Liao , M. , Wan , Z. , Yao , C. , Chen , K. and Bai , X . Real-time scene text detection with differentiable binarization . City , 2020 . Liao, M., Wan, Z., Yao, C., Chen, K. and Bai, X. Real-time scene text detection with differentiable binarization. City, 2020."},{"key":"e_1_3_2_1_15_1","volume-title":"Portuguese named entity recognition using BERT-CRF. arXiv preprint arXiv:1909.10649","author":"Souza F.","year":"2019","unstructured":"Souza , F. , Nogueira , R. and Lotufo , R . Portuguese named entity recognition using BERT-CRF. arXiv preprint arXiv:1909.10649 ( 2019 ). Souza, F., Nogueira, R. and Lotufo, R. Portuguese named entity recognition using BERT-CRF. arXiv preprint arXiv:1909.10649 (2019)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.5201\/ipol.2011.bcm_nlm"},{"key":"e_1_3_2_1_17_1","volume-title":"Adaptive thresholding using the integral image. Journal of graphics tools, 12, 2","author":"Bradley D.","year":"2007","unstructured":"Bradley , D. and Roth , G . Adaptive thresholding using the integral image. Journal of graphics tools, 12, 2 ( 2007 ), 13-21. Bradley, D. and Roth, G. Adaptive thresholding using the integral image. Journal of graphics tools, 12, 2 (2007), 13-21."},{"key":"e_1_3_2_1_18_1","volume-title":"ICDAR 2019 competition on large-scale street view text with partial labeling-RRC-LSVT. IEEE","author":"Sun Y.","year":"2019","unstructured":"Sun , Y. , Ni , Z. , Chng , C.-K. , Liu , Y. , Luo , C. , Ng , C. C. , Han , J. , Ding , E. , Liu , J. and Karatzas , D . ICDAR 2019 competition on large-scale street view text with partial labeling-RRC-LSVT. IEEE , City , 2019 . Sun, Y., Ni, Z., Chng, C.-K., Liu, Y., Luo, C., Ng, C. C., Han, J., Ding, E., Liu, J. and Karatzas, D. ICDAR 2019 competition on large-scale street view text with partial labeling-RRC-LSVT. IEEE, City, 2019."},{"key":"e_1_3_2_1_19_1","volume-title":"ICDAR2019 robust reading challenge on arbitrary-shaped text-RRC-ArT. IEEE","author":"Chng C. K.","year":"2019","unstructured":"Chng , C. K. , Liu , Y. , Sun , Y. , Ng , C. C. , Luo , C. , Ni , Z. , Fang , C. , Zhang , S. , Han , J. and Ding , E . ICDAR2019 robust reading challenge on arbitrary-shaped text-RRC-ArT. IEEE , City , 2019 . Chng, C. K., Liu, Y., Sun, Y., Ng, C. C., Luo, C., Ni, Z., Fang, C., Zhang, S., Han, J. and Ding, E. ICDAR2019 robust reading challenge on arbitrary-shaped text-RRC-ArT. IEEE, City, 2019."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2017.233"},{"key":"e_1_3_2_1_21_1","volume-title":"ICDAR2019 robust reading challenge on multi-lingual scene text detection and recognition\u2014RRC-MLT-2019","author":"Nayef N.","year":"2019","unstructured":"Nayef , N. , Patel , Y. , Busta , M. , Chowdhury , P. N. , Karatzas , D. , Khlif , W. , Matas , J. , Pal , U. , Burie , J.-C. and Liu , C . -l . ICDAR2019 robust reading challenge on multi-lingual scene text detection and recognition\u2014RRC-MLT-2019 . IEEE, City , 2019 . Nayef, N., Patel, Y., Busta, M., Chowdhury, P. N., Karatzas, D., Khlif, W., Matas, J., Pal, U., Burie, J.-C. and Liu, C.-l. ICDAR2019 robust reading challenge on multi-lingual scene text detection and recognition\u2014RRC-MLT-2019. IEEE, City, 2019."},{"key":"e_1_3_2_1_22_1","volume-title":"City","author":"Graves A.","year":"2006","unstructured":"Graves , A. , Fern\u00e1ndez , S. , Gomez , F. and Schmidhuber , J . Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks . City , 2006 . Graves, A., Fern\u00e1ndez, S., Gomez, F. and Schmidhuber, J. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. City, 2006."},{"key":"e_1_3_2_1_23_1","volume-title":"City","author":"Hwang W.","year":"2019","unstructured":"Hwang , W. , Kim , S. , Seo , M. , Yim , J. , Park , S. , Park , S. , Lee , J. , Lee , B. and Lee , H . Post-OCR parsing: building simple and robust parser via BIO tagging . City , 2019 . Hwang, W., Kim, S., Seo, M., Yim, J., Park, S., Park, S., Lee, J., Lee, B. and Lee, H. Post-OCR parsing: building simple and robust parser via BIO tagging. City, 2019."},{"key":"e_1_3_2_1_24_1","volume-title":"FLAT: Chinese NER using flat-lattice transformer. arXiv preprint arXiv:2004.11795","author":"Li X.","year":"2020","unstructured":"Li , X. , Yan , H. , Qiu , X. and Huang , X . FLAT: Chinese NER using flat-lattice transformer. arXiv preprint arXiv:2004.11795 ( 2020 ). Li, X., Yan, H., Qiu, X. and Huang, X. FLAT: Chinese NER using flat-lattice transformer. arXiv preprint arXiv:2004.11795 (2020)."},{"key":"e_1_3_2_1_25_1","volume-title":"Revisiting pre-trained models for chinese natural language processing. arXiv preprint arXiv:2004.13922","author":"Cui Y.","year":"2020","unstructured":"Cui , Y. , Che , W. , Liu , T. , Qin , B. , Wang , S. and Hu , G . Revisiting pre-trained models for chinese natural language processing. arXiv preprint arXiv:2004.13922 ( 2020 ). Cui, Y., Che, W., Liu, T., Qin, B., Wang, S. and Hu, G. Revisiting pre-trained models for chinese natural language processing. arXiv preprint arXiv:2004.13922 (2020)."},{"key":"e_1_3_2_1_26_1","volume-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","author":"Lafferty J.","year":"2001","unstructured":"Lafferty , J. , McCallum , A. and Pereira , F. C . Conditional random fields: Probabilistic models for segmenting and labeling sequence data ( 2001 ). Lafferty, J., McCallum, A. and Pereira, F. C. Conditional random fields: Probabilistic models for segmenting and labeling sequence data (2001)."}],"event":{"name":"BIC 2022: 2022 2nd International Conference on Bioinformatics and Intelligent Computing","acronym":"BIC 2022","location":"Harbin China"},"container-title":["2022 2nd International Conference on Bioinformatics and Intelligent Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523286.3524517","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3523286.3524517","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:30Z","timestamp":1750183770000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523286.3524517"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,21]]},"references-count":26,"alternative-id":["10.1145\/3523286.3524517","10.1145\/3523286"],"URL":"https:\/\/doi.org\/10.1145\/3523286.3524517","relation":{},"subject":[],"published":{"date-parts":[[2022,1,21]]},"assertion":[{"value":"2022-05-31","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}