{"id":"https://openalex.org/W3002226419","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965823","title":"Named Entity Recognition Using BERT BiLSTM CRF for Chinese Electronic Health Records","display_name":"Named Entity Recognition Using BERT BiLSTM CRF for Chinese Electronic Health Records","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3002226419","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965823","mag":"3002226419"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei48845.2019.8965823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10159894/1/NamedEntityRecognitionUsingBERTBiLSTMCRFforChineseElectronicHealthRecord.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101071685","display_name":"Zhenjin Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenjin Dai","raw_affiliation_strings":["Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China"],"affiliations":[{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051866698","display_name":"Xutao Wang","orcid":"https://orcid.org/0009-0002-8167-595X"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xutao Wang","raw_affiliation_strings":["Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China"],"affiliations":[{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012478360","display_name":"Pin Ni","orcid":"https://orcid.org/0000-0003-4516-1249"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pin Ni","raw_affiliation_strings":["Department of Computer Science, University of Liverpool, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Liverpool, UK","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100779262","display_name":"Yuming Li","orcid":"https://orcid.org/0000-0003-2219-9033"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Li","raw_affiliation_strings":["Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China"],"affiliations":[{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021304275","display_name":"Gangmin Li","orcid":"https://orcid.org/0000-0003-4006-7472"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangmin Li","raw_affiliation_strings":["Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China"],"affiliations":[{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010510744","display_name":"Xuming Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210124971","display_name":"Second Affiliated Hospital of Soochow University","ror":"https://ror.org/02xjrkt08","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuming Bai","raw_affiliation_strings":["Department of Interventional Radiology, Second Affiliated Hospital of Soochow University, China"],"affiliations":[{"raw_affiliation_string":"Department of Interventional Radiology, Second Affiliated Hospital of Soochow University, China","institution_ids":["https://openalex.org/I3923682","https://openalex.org/I4210124971"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101071685"],"corresponding_institution_ids":["https://openalex.org/I69356397"],"apc_list":null,"apc_paid":null,"fwci":8.091,"has_fulltext":true,"cited_by_count":173,"citation_normalized_percentile":{"value":0.97942071,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.8605689406394958},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.8178271055221558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7709730863571167},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7138930559158325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6918152570724487},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.667822003364563},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5703138113021851},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5306200981140137},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4974680244922638},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.48589247465133667},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.4845196604728699},{"id":"https://openalex.org/keywords/biomedical-text-mining","display_name":"Biomedical text mining","score":0.46897754073143005},{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.41246476769447327},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38207682967185974},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.22198957204818726},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.08871674537658691}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.8605689406394958},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.8178271055221558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7709730863571167},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7138930559158325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6918152570724487},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.667822003364563},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5703138113021851},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5306200981140137},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4974680244922638},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.48589247465133667},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.4845196604728699},{"id":"https://openalex.org/C165141518","wikidata":"https://www.wikidata.org/wiki/Q4915126","display_name":"Biomedical text mining","level":3,"score":0.46897754073143005},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.41246476769447327},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38207682967185974},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.22198957204818726},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.08871674537658691},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cisp-bmei48845.2019.8965823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10159894","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10159894/","pdf_url":"https://discovery.ucl.ac.uk/10159894/1/NamedEntityRecognitionUsingBERTBiLSTMCRFforChineseElectronicHealthRecord.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In: Li, Qingli and Wang, Lipo, (eds.) 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).  (pp. pp. 1-5).  IEEE: Suzhou, China. (2020)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10159894","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10159894/","pdf_url":"https://discovery.ucl.ac.uk/10159894/1/NamedEntityRecognitionUsingBERTBiLSTMCRFforChineseElectronicHealthRecord.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In: Li, Qingli and Wang, Lipo, (eds.) 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).  (pp. pp. 1-5).  IEEE: Suzhou, China. (2020)     ","raw_type":"Proceedings paper"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3002226419.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2140016149","https://openalex.org/W2153579005","https://openalex.org/W2158899491","https://openalex.org/W2559281960","https://openalex.org/W2763438644","https://openalex.org/W2769387903","https://openalex.org/W2884910431","https://openalex.org/W2896457183","https://openalex.org/W2912691650","https://openalex.org/W2930726706","https://openalex.org/W2952230511","https://openalex.org/W2963341956","https://openalex.org/W3098727690","https://openalex.org/W3210120707","https://openalex.org/W4294170691","https://openalex.org/W6682691769","https://openalex.org/W6683738474"],"related_works":["https://openalex.org/W4205454697","https://openalex.org/W2621151902","https://openalex.org/W2134429551","https://openalex.org/W3004288456","https://openalex.org/W2017675085","https://openalex.org/W4396918568","https://openalex.org/W2548624545","https://openalex.org/W4387606006","https://openalex.org/W2997394673","https://openalex.org/W4200381505"],"abstract_inverted_index":{"As":[0],"the":[1,15,28,58,66,97,112],"generation":[2],"and":[3,65,91],"accumulation":[4],"of":[5,70],"massive":[6],"electronic":[7],"health":[8],"records":[9],"(EHR),":[10],"how":[11],"to":[12],"effectively":[13],"extract":[14],"valuable":[16],"medical":[17,29],"information":[18,30],"from":[19],"EHR":[20,60],"has":[21],"been":[22,82],"a":[23],"popular":[24],"research":[25],"topic.":[26],"During":[27],"extraction,":[31],"named":[32],"entity":[33],"recognition":[34],"(NER)":[35],"is":[36],"an":[37],"essential":[38],"natural":[39],"language":[40,88],"processing":[41],"(NLP)":[42],"task.":[43,55],"This":[44],"paper":[45],"presents":[46],"our":[47],"efforts":[48],"using":[49],"neural":[50,75],"network":[51],"approaches":[52],"for":[53,77],"this":[54],"Based":[56],"on":[57],"Chinese":[59],"offered":[61],"by":[62],"CCKS":[63],"2019":[64],"Second":[67],"Affiliated":[68],"Hospital":[69],"Soochow":[71],"University":[72],"(SAHSU),":[73],"several":[74],"models":[76,110],"NER,":[78],"including":[79],"BiLSTM,":[80],"have":[81,94],"compared,":[83],"along":[84],"with":[85],"two":[86],"pre-trained":[87],"models,":[89],"word2vec":[90],"BERT.":[92],"We":[93],"found":[95],"that":[96],"BERT-BiLSTM-CRF":[98],"model":[99],"can":[100],"achieve":[101],"approximately":[102],"75%":[103],"F1":[104],"score,":[105],"which":[106],"outperformed":[107],"all":[108],"other":[109],"during":[111],"tests.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":42},{"year":2023,"cited_by_count":49},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":10}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
