{"id":"https://openalex.org/W3128697167","doi":"https://doi.org/10.1109/bibm49941.2020.9313496","title":"Clinical Phrase Mining with Language Models","display_name":"Clinical Phrase Mining with Language Models","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3128697167","doi":"https://doi.org/10.1109/bibm49941.2020.9313496","mag":"3128697167"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108737637","display_name":"Kaushik Mani","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushik Mani","raw_affiliation_strings":["The Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086600391","display_name":"Xiang Yue","orcid":"https://orcid.org/0000-0003-4547-1685"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Yue","raw_affiliation_strings":["The Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056452649","display_name":"Bernal Jim\u00e9nez Guti\u00e9rrez","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bernal Jimenez Gutierrez","raw_affiliation_strings":["The Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080962590","display_name":"Yungui Huang","orcid":"https://orcid.org/0000-0003-3265-9902"},"institutions":[{"id":"https://openalex.org/I1314135232","display_name":"Nationwide Children's Hospital","ror":"https://ror.org/003rfsp33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1314135232"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yungui Huang","raw_affiliation_strings":["Research Information Solutions and Innovation, Nationwide Children\u2019s Hospital, Columbus, OH, USA","Research Information Solutions and Innovation, Nationwide Children's Hospital, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Information Solutions and Innovation, Nationwide Children\u2019s Hospital, Columbus, OH, USA","institution_ids":["https://openalex.org/I1314135232"]},{"raw_affiliation_string":"Research Information Solutions and Innovation, Nationwide Children's Hospital, Columbus, OH, USA","institution_ids":["https://openalex.org/I1314135232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111991056","display_name":"Simon Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I1314135232","display_name":"Nationwide Children's Hospital","ror":"https://ror.org/003rfsp33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1314135232"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon Lin","raw_affiliation_strings":["Research Information Solutions and Innovation, Nationwide Children\u2019s Hospital, Columbus, OH, USA","Research Information Solutions and Innovation, Nationwide Children's Hospital, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Information Solutions and Innovation, Nationwide Children\u2019s Hospital, Columbus, OH, USA","institution_ids":["https://openalex.org/I1314135232"]},{"raw_affiliation_string":"Research Information Solutions and Innovation, Nationwide Children's Hospital, Columbus, OH, USA","institution_ids":["https://openalex.org/I1314135232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101488340","display_name":"Huan Sun","orcid":"https://orcid.org/0000-0001-6436-4813"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Sun","raw_affiliation_strings":["The Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1087","last_page":"1090"},"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":0.9995999932289124,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8373706340789795},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.6241725087165833},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.584945797920227},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5772324204444885},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5594943165779114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5398234128952026},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5166733264923096},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5154474377632141},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44672736525535583},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.43128639459609985},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42453733086586},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.4131448268890381},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27563080191612244},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.20289194583892822},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13611295819282532},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10091996192932129}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8373706340789795},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6241725087165833},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.584945797920227},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5772324204444885},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5594943165779114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5398234128952026},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5166733264923096},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5154474377632141},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44672736525535583},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.43128639459609985},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42453733086586},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.4131448268890381},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27563080191612244},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.20289194583892822},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13611295819282532},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10091996192932129},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W162154816","https://openalex.org/W1541832534","https://openalex.org/W1550258693","https://openalex.org/W1614298861","https://openalex.org/W1833879781","https://openalex.org/W1956559956","https://openalex.org/W2019862689","https://openalex.org/W2062908157","https://openalex.org/W2104381725","https://openalex.org/W2114039834","https://openalex.org/W2123061032","https://openalex.org/W2129367118","https://openalex.org/W2143017621","https://openalex.org/W2146089916","https://openalex.org/W2150815390","https://openalex.org/W2159636537","https://openalex.org/W2223881431","https://openalex.org/W2250539671","https://openalex.org/W2296283641","https://openalex.org/W2396881363","https://openalex.org/W2407111606","https://openalex.org/W2527896214","https://openalex.org/W2593560537","https://openalex.org/W2605035112","https://openalex.org/W2899771611","https://openalex.org/W2911489562","https://openalex.org/W2917650994","https://openalex.org/W2922174756","https://openalex.org/W2941310691","https://openalex.org/W2962739339","https://openalex.org/W2963341956","https://openalex.org/W2963716420","https://openalex.org/W2964242047","https://openalex.org/W2964308564","https://openalex.org/W2977393556","https://openalex.org/W2977707586","https://openalex.org/W3035129496","https://openalex.org/W3035519046","https://openalex.org/W3102119336","https://openalex.org/W3106224367"],"related_works":["https://openalex.org/W2039546652","https://openalex.org/W3203889067","https://openalex.org/W3184725726","https://openalex.org/W2012262991","https://openalex.org/W2378793138","https://openalex.org/W2759357633","https://openalex.org/W2389214306","https://openalex.org/W2373794620","https://openalex.org/W2060629350","https://openalex.org/W4390701126"],"abstract_inverted_index":{"A":[0],"vast":[1],"amount":[2,140],"of":[3,41,141,166],"vital":[4],"clinical":[5,42,87,104,135],"data":[6,28,36],"is":[7,32,57],"available":[8],"within":[9],"unstructured":[10,27],"texts":[11,71,88],"such":[12,26],"as":[13,125],"discharge":[14],"summaries":[15],"and":[16,54,95,129],"procedure":[17],"notes":[18],"in":[19,38,51,61,164],"Electronic":[20],"Medical":[21],"Records":[22],"(EMRs).":[23],"Automatically":[24],"transforming":[25],"into":[29],"structured":[30],"units":[31],"crucial":[33],"for":[34,69,83],"effective":[35],"analysis":[37],"the":[39,147,156],"field":[40],"informatics.":[43],"Recognizing":[44],"phrases":[45,133],"that":[46,66,151],"reveal":[47],"important":[48],"medical":[49],"information":[50],"a":[52,58,112,138],"concise":[53],"thorough":[55],"manner":[56],"fundamental":[59],"step":[60],"this":[62],"process.":[63],"Existing":[64],"systems":[65],"are":[67,72,89],"built":[68],"opendomain":[70],"designed":[73,81],"to":[74,92,127,162,177],"detect":[75],"mostly":[76],"non-medical":[77],"phrases,":[78],"while":[79,172],"tools":[80],"specifically":[82],"extracting":[84],"concepts":[85],"from":[86,134],"not":[90],"scalable":[91],"large":[93],"corpora":[94],"often":[96],"leave":[97],"out":[98],"essential":[99],"context":[100],"surrounding":[101],"those":[102],"detected":[103],"concepts.":[105],"We":[106],"address":[107],"these":[108],"issues":[109],"by":[110,160],"proposing":[111],"framework,":[113],"CliniPhrase,":[114],"which":[115],"adapts":[116],"domain-specific":[117],"deep":[118],"neural":[119],"network":[120],"based":[121],"language":[122],"models":[123],"(such":[124],"ClinicalBERT)":[126],"effectively":[128],"efficiently":[130],"extract":[131],"high-quality":[132],"documents":[136],"with":[137],"limited":[139],"training":[142],"data.":[143],"Experimental":[144],"results":[145],"on":[146],"MIMIC-III":[148],"dataset":[149],"show":[150],"our":[152],"method":[153],"can":[154],"outperform":[155],"current":[157],"state-of-the-art":[158],"techniques":[159],"up":[161],"18%":[163],"terms":[165],"F":[167],"<sub":[168],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[170],"measure":[171],"being":[173],"very":[174],"efficient":[175],"(up":[176],"48":[178],"times":[179],"faster).":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}