{"id":"https://openalex.org/W4386215151","doi":"https://doi.org/10.1109/icdh60066.2023.00038","title":"Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure","display_name":"Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4386215151","doi":"https://doi.org/10.1109/icdh60066.2023.00038"},"language":"en","primary_location":{"id":"doi:10.1109/icdh60066.2023.00038","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icdh60066.2023.00038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Digital Health (ICDH)","raw_type":"proceedings-article"},"type":"article","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/A5045211735","display_name":"Ankita Agarwal","orcid":"https://orcid.org/0000-0003-0570-7374"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ankita Agarwal","raw_affiliation_strings":["Wright State University,Dept. of Computer Sci. and Engr.,Dayton,U.S.A","Dept. of Computer Sci. and Engr., Wright State University, Dayton, U.S.A"],"affiliations":[{"raw_affiliation_string":"Wright State University,Dept. of Computer Sci. and Engr.,Dayton,U.S.A","institution_ids":["https://openalex.org/I19648265"]},{"raw_affiliation_string":"Dept. of Computer Sci. and Engr., Wright State University, Dayton, U.S.A","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084532918","display_name":"Tanvi Banerjee","orcid":"https://orcid.org/0000-0002-9794-3755"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanvi Banerjee","raw_affiliation_strings":["Wright State University,Dept. of Computer Sci. and Engr.,Dayton,U.S.A","Dept. of Computer Sci. and Engr., Wright State University, Dayton, U.S.A"],"affiliations":[{"raw_affiliation_string":"Wright State University,Dept. of Computer Sci. and Engr.,Dayton,U.S.A","institution_ids":["https://openalex.org/I19648265"]},{"raw_affiliation_string":"Dept. of Computer Sci. and Engr., Wright State University, Dayton, U.S.A","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067728815","display_name":"William L. Romine","orcid":"https://orcid.org/0000-0002-0386-1688"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William L. Romine","raw_affiliation_strings":["Wright State University,Dept. of Biological Sciences,Dayton,U.S.A","Dept. of Biological Sciences, Wright State University, Dayton, U.S.A"],"affiliations":[{"raw_affiliation_string":"Wright State University,Dept. of Biological Sciences,Dayton,U.S.A","institution_ids":["https://openalex.org/I19648265"]},{"raw_affiliation_string":"Dept. of Biological Sciences, Wright State University, Dayton, U.S.A","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060617658","display_name":"Krishnaprasad Thirunarayan","orcid":"https://orcid.org/0000-0002-7041-6963"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishnaprasad Thirunarayan","raw_affiliation_strings":["Wright State University,Dept. of Computer Sci. and Engr.,Dayton,U.S.A","Dept. of Computer Sci. and Engr., Wright State University, Dayton, U.S.A"],"affiliations":[{"raw_affiliation_string":"Wright State University,Dept. of Computer Sci. and Engr.,Dayton,U.S.A","institution_ids":["https://openalex.org/I19648265"]},{"raw_affiliation_string":"Dept. of Computer Sci. and Engr., Wright State University, Dayton, U.S.A","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023339560","display_name":"Lingwei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingwei Chen","raw_affiliation_strings":["Wright State University,Dept. of Computer Sci. and Engr.,Dayton,U.S.A","Dept. of Computer Sci. and Engr., Wright State University, Dayton, U.S.A"],"affiliations":[{"raw_affiliation_string":"Wright State University,Dept. of Computer Sci. and Engr.,Dayton,U.S.A","institution_ids":["https://openalex.org/I19648265"]},{"raw_affiliation_string":"Dept. of Computer Sci. and Engr., Wright State University, Dayton, U.S.A","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016336479","display_name":"Mia Cajita","orcid":"https://orcid.org/0000-0002-2331-1229"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mia Cajita","raw_affiliation_strings":["University of Illinois Chicago,College of Nursing,Chicago,U.S.A","College of Nursing, University of Illinois Chicago, Chicago, U.S.A"],"affiliations":[{"raw_affiliation_string":"University of Illinois Chicago,College of Nursing,Chicago,U.S.A","institution_ids":["https://openalex.org/I39422238","https://openalex.org/I40347166"]},{"raw_affiliation_string":"College of Nursing, University of Illinois Chicago, Chicago, U.S.A","institution_ids":["https://openalex.org/I39422238","https://openalex.org/I40347166"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5045211735"],"corresponding_institution_ids":["https://openalex.org/I19648265"],"apc_list":null,"apc_paid":null,"fwci":0.5245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71383304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":null,"first_page":"208","last_page":"216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9937999844551086,"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":0.9937999844551086,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10350","display_name":"Electronic Health Records Systems","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heart-failure","display_name":"Heart failure","score":0.5429709553718567},{"id":"https://openalex.org/keywords/phenotype","display_name":"Phenotype","score":0.5010836124420166},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.39826086163520813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.385922372341156},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2982172966003418},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13897967338562012},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.12576022744178772}],"concepts":[{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.5429709553718567},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.5010836124420166},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.39826086163520813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.385922372341156},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2982172966003418},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13897967338562012},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.12576022744178772},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdh60066.2023.00038","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icdh60066.2023.00038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Digital Health (ICDH)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338440","display_name":"HORIZON EUROPE Health","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W767186437","https://openalex.org/W1902526473","https://openalex.org/W1976245477","https://openalex.org/W1992357204","https://openalex.org/W2031034134","https://openalex.org/W2038043464","https://openalex.org/W2048241823","https://openalex.org/W2053104823","https://openalex.org/W2058924226","https://openalex.org/W2061929286","https://openalex.org/W2117523481","https://openalex.org/W2128616793","https://openalex.org/W2139865360","https://openalex.org/W2148143831","https://openalex.org/W2152742787","https://openalex.org/W2325031208","https://openalex.org/W2521579474","https://openalex.org/W2537052583","https://openalex.org/W2752320387","https://openalex.org/W2766690634","https://openalex.org/W2793152161","https://openalex.org/W2902709149","https://openalex.org/W2909877689","https://openalex.org/W2935329831","https://openalex.org/W2941234853","https://openalex.org/W2951196975","https://openalex.org/W3049362722","https://openalex.org/W3063477759","https://openalex.org/W3132494856","https://openalex.org/W4292265404","https://openalex.org/W4295453934","https://openalex.org/W6622509136","https://openalex.org/W6761920641"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3108674512","https://openalex.org/W1506200166","https://openalex.org/W1489783725"],"abstract_inverted_index":{"Heart":[0],"failure":[1,30,142,188],"is":[2,10,94],"a":[3,121,145,244],"syndrome":[4],"which":[5,104,227],"occurs":[6],"when":[7],"the":[8,23,35,48,60,79,89,172,190,265,293,314,325],"heart":[9,29,65,141,187,225],"not":[11],"able":[12,307],"to":[13,18,73,96,149,170,221,230,260,268,285,308],"pump":[14],"blood":[15],"and":[16,26,38,55,125,148,178,195,210,234,248,264,281,299,321],"oxygen":[17],"support":[19],"other":[20,266],"organs":[21],"in":[22,31,51,78,108,137,175,179,207,296],"body.":[24],"Treatment":[25],"management":[27],"of":[28,41,76,91,114,140,152,154,182,192,246,288,311,313,319,333],"patients":[32,43,80,98,143,156,184,315],"include":[33],"understanding":[34],"diagnostic":[36,53,176,208,262,297],"codes":[37,54,177,209,298],"procedure":[39,56,180,211,270,300],"reports":[40,57,181,271,301],"these":[42,52,92,155,279],"during":[44],"their":[45,82,101,274,282],"hospitalization.":[46],"Identifying":[47],"underlying":[49],"themes":[50,68,93,173,205,214,256,280,294],"could":[58,69,105,228],"reveal":[59],"clinical":[61,83,86,117,138,250],"phenotypes":[62,87,118,136,219],"associated":[63],"with":[64,254,273,316],"failure.":[66],"These":[67,116,213],"also":[70,106],"help":[71,107,229],"clinicians":[72],"predict":[74,150,286,309],"length":[75,113,151,287,310],"stay":[77,153,312],"using":[81,144,157,302],"notes.":[84],"Understanding":[85],"on":[88,100,134],"basis":[90],"important":[95],"group":[97],"based":[99],"similar":[102],"characteristics":[103],"predicting":[109],"patient":[110],"outcomes":[111],"like":[112],"stay.":[115,289],"usually":[119],"have":[120],"probabilistic":[122,146],"latent":[123],"structure":[124],"hence,":[126],"as":[127],"there":[128],"has":[129],"been":[130],"no":[131],"previous":[132],"work":[133],"identifying":[135],"notes":[139],"framework":[147],"data-driven":[158],"artificial":[159],"intelligence-based":[160],"methods,":[161],"we":[162],"apply":[163],"natural":[164],"language":[165],"processing":[166],"technique,":[167],"topic":[168,303],"modeling,":[169],"identify":[171],"present":[174],"1,200":[183],"admitted":[185],"for":[186],"at":[189],"University":[191],"Illinois":[193],"Hospital":[194],"Health":[196],"Sciences":[197],"System":[198],"(UI":[199],"Health).":[200],"Topic":[201],"modeling":[202,304],"identified":[203],"twelve":[204],"each":[206,249],"reports.":[212],"revealed":[215],"information":[216],"about":[217,224],"different":[218],"related":[220],"various":[222],"perspectives":[223],"failure,":[226],"study":[231],"patients\u2019":[232],"profiles":[233],"discover":[235],"new":[236],"relationships":[237],"among":[238],"medical":[239],"concepts.":[240],"Each":[241],"theme":[242],"had":[243],"set":[245],"keywords":[247],"note":[251],"was":[252],"labeled":[253],"two":[255],"\u2014":[257],"one":[258],"corresponding":[259,267],"its":[261,269],"code":[263],"along":[272],"percentage":[275,283],"contribution.":[276],"We":[277,290],"used":[278],"contribution":[284],"found":[291],"that":[292],"discovered":[295],"together":[305],"were":[306],"an":[317,322],"accuracy":[318],"61.1%":[320],"Area":[323],"under":[324],"Receiver":[326],"Operating":[327],"Characteristic":[328],"Curve":[329],"(ROC":[330],"AUC)":[331],"value":[332],"0.828.":[334]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}