{"id":"https://openalex.org/W2899325006","doi":"https://doi.org/10.18293/seke2018-040","title":"Deep Learning based Information Extraction Framework on Chinese Electronic Health Records","display_name":"Deep Learning based Information Extraction Framework on Chinese Electronic Health Records","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2899325006","doi":"https://doi.org/10.18293/seke2018-040","mag":"2899325006"},"language":"en","primary_location":{"id":"doi:10.18293/seke2018-040","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2018-040","pdf_url":"https://doi.org/10.18293/seke2018-040","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2018-040","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083080398","display_name":"Bing Tian","orcid":"https://orcid.org/0000-0003-2446-4363"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Bing Tian","raw_affiliation_strings":["Department of Computer Science and Technology, Institute of Internet Industry, Tsinghua University, Beijing, China","$ RIIT, Beijing National Research Center for Information Science and Technology,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Institute of Internet Industry, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"$ RIIT, Beijing National Research Center for Information Science and Technology,","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419741","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0001-8803-2055"},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Institute of Internet Industry, Tsinghua University, Beijing, China","$ RIIT, Beijing National Research Center for Information Science and Technology,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Institute of Internet Industry, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"$ RIIT, Beijing National Research Center for Information Science and Technology,","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674716","display_name":"Kaixin Liu","orcid":"https://orcid.org/0000-0003-4939-0313"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Kaixin Liu","raw_affiliation_strings":["$ RIIT, Beijing National Research Center for Information Science and Technology,","Department of Computer Science and Technology, Institute of Internet Industry, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"$ RIIT, Beijing National Research Center for Information Science and Technology,","institution_ids":["https://openalex.org/I29955533"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Institute of Internet Industry, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058043497","display_name":"Chunxiao Xing","orcid":"https://orcid.org/0000-0001-9390-3097"},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Chunxiao Xing","raw_affiliation_strings":["$ RIIT, Beijing National Research Center for Information Science and Technology,","Department of Computer Science and Technology, Institute of Internet Industry, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"$ RIIT, Beijing National Research Center for Information Science and Technology,","institution_ids":["https://openalex.org/I29955533"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Institute of Internet Industry, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083080398"],"corresponding_institution_ids":["https://openalex.org/I29955533","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.5077,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74784474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2018","issue":null,"first_page":"86","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9958999752998352,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9958999752998352,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9891999959945679,"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/health-records","display_name":"Health records","score":0.6797021627426147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6484609246253967},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5740193724632263},{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.5680316090583801},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46536993980407715},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.43728581070899963},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41337817907333374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4099881052970886},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39003467559814453},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.14153996109962463}],"concepts":[{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.6797021627426147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6484609246253967},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5740193724632263},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.5680316090583801},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46536993980407715},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.43728581070899963},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41337817907333374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4099881052970886},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39003467559814453},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.14153996109962463},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2018-040","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2018-040","pdf_url":"https://doi.org/10.18293/seke2018-040","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2018-040","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2018-040","pdf_url":"https://doi.org/10.18293/seke2018-040","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6896362766","display_name":null,"funder_award_id":"91646202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8387193945","display_name":null,"funder_award_id":"SS2015AA02010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2899325006.pdf","grobid_xml":"https://content.openalex.org/works/W2899325006.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W320467647","https://openalex.org/W1548728152","https://openalex.org/W2060947741","https://openalex.org/W2097551768","https://openalex.org/W2115083313","https://openalex.org/W2125674401","https://openalex.org/W2129367118","https://openalex.org/W2466511670","https://openalex.org/W2469314752","https://openalex.org/W2511950764","https://openalex.org/W2515406546","https://openalex.org/W2553519899","https://openalex.org/W2556100086","https://openalex.org/W2574904969","https://openalex.org/W2605215742","https://openalex.org/W2615658008","https://openalex.org/W2741271950","https://openalex.org/W2800685224","https://openalex.org/W2963338481","https://openalex.org/W2964036454"],"related_works":["https://openalex.org/W187932805","https://openalex.org/W1641026212","https://openalex.org/W4312053962","https://openalex.org/W2087134418","https://openalex.org/W2323588885","https://openalex.org/W3047677938","https://openalex.org/W2911135505","https://openalex.org/W2410140189","https://openalex.org/W2078646730","https://openalex.org/W3027078461"],"abstract_inverted_index":{"Electronic":[0],"Health":[1],"Records":[2],"(EHRs)":[3],"store":[4],"a":[5,83,118],"large":[6],"amount":[7],"of":[8,64,100,134,154,179,192],"clinical":[9,19,92,113,170],"data":[10,103],"associated":[11],"with":[12],"each":[13],"patient.":[14],"Information":[15],"extraction":[16,90,168],"on":[17,39,53,75,181],"unstructured":[18],"notes":[20,93,171],"in":[21,31,94,172],"EHRs":[22],"is":[23,67,158],"important":[24],"which":[25],"could":[26],"contribute":[27],"to":[28,57,69,162,166],"huge":[29],"improvement":[30],"patient":[32],"health":[33],"management.":[34],"Previous":[35],"studies":[36],"mainly":[37],"focused":[38],"English":[40,74],"corpus.":[41,77],"However,":[42],"at":[43],"the":[44,58,62,132,152,159,190],"same":[45],"time":[46],"there":[47],"are":[48],"very":[49],"limited":[50],"research":[51],"work":[52],"Chinese":[54,76,95,135,173],"EHRs.":[55,96,174],"Due":[56],"challenges":[59],"brought":[60],"by":[61,130],"characteristics":[63,133],"Chinese,":[65],"it":[66],"difficult":[68],"apply":[70,163],"existing":[71],"techniques":[72],"for":[73,88],"In":[78],"this":[79,157],"paper,":[80],"we":[81,116,140],"propose":[82,117],"deep":[84,164],"learning":[85,165],"based":[86,124],"framework":[87,98,161],"information":[89,167],"from":[91,169,184],"Our":[97],"consists":[99],"three":[101],"components:":[102],"preprocessing,":[104],"feature":[105],"generation":[106],"and":[107,109,126],"entity":[108,114],"relation":[110,138],"extractor.":[111],"For":[112,137],"recognition,":[115],"novel":[119],"Conditional":[120],"Random":[121],"Field":[122],"(CRF)":[123],"model":[125],"introduce":[127],"effective":[128],"features":[129],"leveraging":[131],"language.":[136],"extraction,":[139],"utilize":[141],"Convolutional":[142],"Neural":[143],"Network":[144],"(CNN)to":[145],"obtain":[146],"high":[147],"quality":[148],"entity-relation":[149],"facts.":[150],"To":[151],"best":[153],"our":[155,193],"knowledge,":[156],"first":[160],"We":[175],"conduct":[176],"extensive":[177],"sets":[178],"experiments":[180],"real-world":[182],"datasets":[183],"hospital.":[185],"The":[186],"experimental":[187],"results":[188],"show":[189],"effectiveness":[191],"framework,":[194],"indicating":[195],"its":[196],"practical":[197],"application":[198],"value.":[199]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}