{"id":"https://openalex.org/W7213511978","doi":"https://doi.org/10.48550/arxiv.2609.17532","title":"Enhancing Extubation Failure Prediction with LLM-Derived Features from Respiratory Therapy Clinical Notes","display_name":"Enhancing Extubation Failure Prediction with LLM-Derived Features from Respiratory Therapy Clinical Notes","publication_year":2026,"publication_date":"2026-06-17","ids":{"openalex":"https://openalex.org/W7213511978","doi":"https://doi.org/10.48550/arxiv.2609.17532"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.17532","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.17532","pdf_url":"https://arxiv.org/pdf/2609.17532","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.17532","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126548885","display_name":"Izzy Chaiken","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chaiken, Izzy","raw_affiliation_strings":["Information School , University of Washington , Seattle , WA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information School , University of Washington , Seattle , WA , USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125289737","display_name":"Aditya Khowal","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khowal, Aditya","raw_affiliation_strings":["Information School , University of Washington , Seattle , WA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information School , University of Washington , Seattle , WA , USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001233740","display_name":"Neha Alhad Sathe","orcid":"https://orcid.org/0000-0002-9072-0559","observed_orcids":["https://orcid.org/0000-0002-9072-0559"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sathe, Neha A.","raw_affiliation_strings":["Computer Science & Engineering , University of Washington , Seattle , WA , USA","Information School , University of Washington , Seattle , WA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering , University of Washington , Seattle , WA , USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Information School , University of Washington , Seattle , WA , USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025213353","display_name":"Mark M. Wurfel","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wurfel, Mark M.","raw_affiliation_strings":["Department of Medicine , University of Washington , Seattle , WA , USA","Information School , University of Washington , Seattle , WA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine , University of Washington , Seattle , WA , USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Information School , University of Washington , Seattle , WA , USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001778694","display_name":"Lucy Lu Wang","orcid":"https://orcid.org/0000-0001-8752-6635","observed_orcids":["https://orcid.org/0000-0001-8752-6635"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wang, Lucy Lu","raw_affiliation_strings":["Information School , University of Washington , Seattle , WA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information School , University of Washington , Seattle , WA , USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9926999807357788,"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":0.9926999807357788,"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/T12790","display_name":"Nursing Diagnosis and Documentation","score":0.00279999990016222,"subfield":{"id":"https://openalex.org/subfields/2922","display_name":"Research and Theory"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.001500000013038516,"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/extubation-failure","display_name":"extubation failure","score":0.8700000047683716},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8970000147819519},{"id":"https://openalex.org/keywords/clinical-notes","display_name":"clinical notes","score":0.7770000100135803},{"id":"https://openalex.org/keywords/invasive-mechanical-ventilation","display_name":"invasive mechanical ventilation","score":0.6579999923706055},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.5720000267028809},{"id":"https://openalex.org/keywords/model-generalization","display_name":"model generalization","score":0.7960000038146973}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7559000253677368},{"id":"https://openalex.org/C2778715236","wikidata":"https://www.wikidata.org/wiki/Q55622662","display_name":"Discontinuation","level":2,"score":0.6675999760627747},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6470999717712402},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6089000105857849},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.5684999823570251},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.4763999879360199},{"id":"https://openalex.org/C2777080012","wikidata":"https://www.wikidata.org/wiki/Q3766250","display_name":"Mechanical ventilation","level":2,"score":0.47440001368522644},{"id":"https://openalex.org/C2776888751","wikidata":"https://www.wikidata.org/wiki/Q767485","display_name":"Respiratory failure","level":2,"score":0.4496999979019165},{"id":"https://openalex.org/C2910844663","wikidata":"https://www.wikidata.org/wiki/Q767485","display_name":"Acute respiratory failure","level":3,"score":0.3903999924659729},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.3544999957084656},{"id":"https://openalex.org/C201903717","wikidata":"https://www.wikidata.org/wiki/Q1778788","display_name":"Cohort study","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C3019440749","wikidata":"https://www.wikidata.org/wiki/Q855172","display_name":"Noninvasive ventilation","level":3,"score":0.32109999656677246},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.2906999886035919},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C2910289471","wikidata":"https://www.wikidata.org/wiki/Q767485","display_name":"Chronic respiratory failure","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.2621999979019165}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.17532","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.17532","pdf_url":"https://arxiv.org/pdf/2609.17532","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2609.17532","doi":"https://doi.org/10.48550/arxiv.2609.17532","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.17532","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.17532","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.17532","pdf_url":"https://arxiv.org/pdf/2609.17532","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9763000011444092,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310094","display_name":"University of Washington","ror":"https://ror.org/00cvxb145"},{"id":"https://openalex.org/F4320317052","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7213511978.pdf","grobid_xml":"https://content.openalex.org/works/W7213511978.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W4322718191"],"related_works":["https://openalex.org/W3163248728","https://openalex.org/W6920841051","https://openalex.org/W4291002085","https://openalex.org/W4410276231","https://openalex.org/W7161548425","https://openalex.org/W7140200187","https://openalex.org/W4400217531","https://openalex.org/W7140200799","https://openalex.org/W7167955163","https://openalex.org/W7204135948"],"abstract_inverted_index":{"Invasive":[0],"mechanical":[1],"ventilation":[2],"is":[3,11],"a":[4,25,41,51],"lifesaving":[5],"therapy,":[6],"but":[7],"timely,":[8],"safe":[9],"discontinuation":[10],"essential":[12],"to":[13,21,28,50,100],"preventing":[14],"extubation":[15],"failure":[16],"(EF)":[17],"and":[18,45,95,106],"related":[19],"risks":[20],"health.":[22],"We":[23,77],"present":[24],"novel":[26],"approach":[27],"EF":[29,68,87,96],"prediction":[30,69,88],"that":[31,66],"leverages":[32],"features":[33,65],"classified":[34],"in":[35,82,85,103],"free-text":[36],"respiratory":[37],"therapy":[38],"notes":[39],"using":[40],"large":[42],"language":[43],"model":[44,104],"logistic":[46],"regression":[47],"pipeline.":[48],"Applied":[49],"patient":[52,75],"cohort":[53],"from":[54],"University":[55],"of":[56],"Washington":[57],"Medicine,":[58],"our":[59],"method":[60],"identifies":[61],"clinically":[62],"meaningful":[63],"EF-related":[64],"improve":[67],"performance":[70,105],"when":[71],"included":[72],"alongside":[73],"structured":[74],"data.":[76],"further":[78],"highlight":[79],"how":[80],"differences":[81,102],"target":[83],"populations":[84],"prior":[86],"studies,":[89],"such":[90],"as":[91],"heterogenous":[92],"inclusion":[93],"criteria":[94],"definition,":[97],"can":[98],"lead":[99],"systematic":[101],"hinder":[107],"generalizability":[108],"between":[109],"studies.":[110]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-18T00:00:00"}
