{"id":"https://openalex.org/W2142786899","doi":"https://doi.org/10.1136/jamia.2001.0080598","title":"Use of General-purpose Negation Detection to Augment Concept Indexing of Medical Documents: A Quantitative Study Using the UMLS","display_name":"Use of General-purpose Negation Detection to Augment Concept Indexing of Medical Documents: A Quantitative Study Using the UMLS","publication_year":2001,"publication_date":"2001-11-01","ids":{"openalex":"https://openalex.org/W2142786899","doi":"https://doi.org/10.1136/jamia.2001.0080598","mag":"2142786899","pmid":"https://pubmed.ncbi.nlm.nih.gov/11687566"},"language":"en","primary_location":{"id":"doi:10.1136/jamia.2001.0080598","is_oa":true,"landing_page_url":"https://doi.org/10.1136/jamia.2001.0080598","pdf_url":"https://academic.oup.com/jamia/article-pdf/8/6/598/2342924/8-6-598.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/jamia/article-pdf/8/6/598/2342924/8-6-598.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061242555","display_name":"Pradeep Mutalik","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"P. G. Mutalik","raw_affiliation_strings":["Department of Diagnostic Raiology, Yale University School of Medicine, New Haven, Connecticut 06510, USA. Pradeep.Mutalik@yale.edu","Affiliation of the authors: Yale University School of Medicine, New Haven, Connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Diagnostic Raiology, Yale University School of Medicine, New Haven, Connecticut 06510, USA. Pradeep.Mutalik@yale.edu","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Affiliation of the authors: Yale University School of Medicine, New Haven, Connecticut","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038583014","display_name":"Aniruddha M. Deshpande","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Deshpande","raw_affiliation_strings":["Affiliation of the authors: Yale University School of Medicine, New Haven, Connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Affiliation of the authors: Yale University School of Medicine, New Haven, Connecticut","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047912463","display_name":"P. Nadkarni","orcid":"https://orcid.org/0000-0001-5482-8258"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. M. Nadkarni","raw_affiliation_strings":["Affiliation of the authors: Yale University School of Medicine, New Haven, Connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Affiliation of the authors: Yale University School of Medicine, New Haven, Connecticut","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061242555"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":1.8549,"has_fulltext":true,"cited_by_count":254,"citation_normalized_percentile":{"value":0.85393023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"8","issue":"6","first_page":"598","last_page":"609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.7458999752998352,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.7458999752998352,"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":0.1298999935388565,"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/T10350","display_name":"Electronic Health Records Systems","score":0.02500000037252903,"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/computer-science","display_name":"Computer science","score":0.8598282337188721},{"id":"https://openalex.org/keywords/unified-medical-language-system","display_name":"Unified Medical Language System","score":0.7976756691932678},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7398859262466431},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7164418697357178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6320548057556152},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5424152612686157},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5314518213272095},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.46508023142814636},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.43866002559661865},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.42137837409973145},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3590767979621887}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8598282337188721},{"id":"https://openalex.org/C69505689","wikidata":"https://www.wikidata.org/wiki/Q455338","display_name":"Unified Medical Language System","level":2,"score":0.7976756691932678},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7398859262466431},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7164418697357178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6320548057556152},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5424152612686157},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5314518213272095},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.46508023142814636},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.43866002559661865},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.42137837409973145},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3590767979621887}],"mesh":[{"descriptor_ui":"D000043","descriptor_name":"Abstracting and Indexing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000043","descriptor_name":"Abstracting and Indexing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000043","descriptor_name":"Abstracting and Indexing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008499","descriptor_name":"Medical Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008499","descriptor_name":"Medical Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008499","descriptor_name":"Medical Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011381","descriptor_name":"Programming Languages","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011381","descriptor_name":"Programming Languages","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011381","descriptor_name":"Programming Languages","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1136/jamia.2001.0080598","is_oa":true,"landing_page_url":"https://doi.org/10.1136/jamia.2001.0080598","pdf_url":"https://academic.oup.com/jamia/article-pdf/8/6/598/2342924/8-6-598.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:11687566","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/11687566","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:130070","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/130070","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1136/jamia.2001.0080598","is_oa":true,"landing_page_url":"https://doi.org/10.1136/jamia.2001.0080598","pdf_url":"https://academic.oup.com/jamia/article-pdf/8/6/598/2342924/8-6-598.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G8945058361","display_name":null,"funder_award_id":"R01 LM06843-01","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320308380","display_name":"Yale University","ror":"https://ror.org/03v76x132"},{"id":"https://openalex.org/F4320309102","display_name":"City University of New York","ror":"https://ror.org/00453a208"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332491","display_name":"Raymond and Beverly Sackler Institute for Biological, Physical and Engineering Sciences, Yale University","ror":"https://ror.org/03v76x132"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2142786899.pdf","grobid_xml":"https://content.openalex.org/works/W2142786899.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W24765167","https://openalex.org/W40385435","https://openalex.org/W82967861","https://openalex.org/W99662281","https://openalex.org/W116322939","https://openalex.org/W198852883","https://openalex.org/W349354253","https://openalex.org/W1493255828","https://openalex.org/W1504212872","https://openalex.org/W1534442584","https://openalex.org/W1588474917","https://openalex.org/W1601674470","https://openalex.org/W1605351056","https://openalex.org/W1736036918","https://openalex.org/W1833785989","https://openalex.org/W1911081056","https://openalex.org/W1998041663","https://openalex.org/W2000141976","https://openalex.org/W2052154979","https://openalex.org/W2069334446","https://openalex.org/W2093476618","https://openalex.org/W2105710547","https://openalex.org/W2162311237","https://openalex.org/W2551986255","https://openalex.org/W2611950219"],"related_works":["https://openalex.org/W79619734","https://openalex.org/W2010487328","https://openalex.org/W2340589664","https://openalex.org/W4281750475","https://openalex.org/W3087321790","https://openalex.org/W2409065517","https://openalex.org/W1991876452","https://openalex.org/W900013095","https://openalex.org/W2145752793","https://openalex.org/W206173097"],"abstract_inverted_index":{"OBJECTIVES:":[0],"To":[1],"test":[2,210,237],"the":[3,27,100,132,165,168,186,255,261,275,285,308,332,368,407,411],"hypothesis":[4],"that":[5,21,37,50,87,125,145,175],"most":[6,386,408],"instances":[7,268,297,312],"of":[8,29,56,68,75,95,122,134,161,172,174,188,212,239,269,278,313,322,328,357,363,367,380,385,401,413],"negated":[9,96,302],"concepts":[10,271,340,387],"in":[11,99,164,205,274,343,377,388],"dictated":[12],"medical":[13,70,123,389],"documents":[14,71,214,241],"can":[15,391],"be":[16,392],"detected":[17,273,283,342,394],"by":[18,191,222,247,252,284,289,395],"a":[19,33,43,48,53,73,84,92,135,142,162,209,235,248,320,326,355,361,396],"strategy":[20],"relies":[22,51],"on":[23,52,404],"tools":[24,109],"developed":[25,107],"for":[26,245],"parsing":[28],"formal":[30],"(computer)":[31],"languages-specifically,":[32],"lexical":[34],"scanner":[35],"(\"lexer\")":[36],"uses":[38],"regular":[39],"expressions":[40],"to":[41,82,90,112,119,128,183,194,198,227],"generate":[42,113],"finite":[44],"state":[45],"machine,":[46],"and":[47,80,104,230,233,251,254,287,307,325,351,360],"parser":[49,105,201],"restricted":[54],"subset":[55],"context-free":[57],"grammars,":[58],"known":[59],"as":[60,301],"LALR(1)":[61],"grammars.":[62],"METHODS:":[63],"A":[64],"diverse":[65],"training":[66],"set":[67,94,211,238],"40":[69],"from":[72],"variety":[74],"specialties":[76],"was":[77,126,177,181,202,224,242,375],"manually":[78],"inspected":[79,225],"used":[81,111,182],"develop":[83],"program":[85,152,286,309],"(Negfinder)":[86],"contained":[88],"rules":[89],"recognize":[91,129],"large":[93],"patterns":[97],"occurring":[98],"text.":[101],"Negfinder's":[102],"lexer":[103],"were":[106,257,272,281,298,341],"using":[108,264,335],"normally":[110],"programming":[114],"language":[115],"compilers.":[116],"The":[117,151,200,399],"input":[118],"Negfinder":[120,223],"consisted":[121],"narrative":[124,390],"preprocessed":[127],"UMLS":[130,148,270],"concepts:":[131],"text":[133,187],"recognized":[136],"concept":[137,149,163,176,414],"had":[138],"been":[139],"replaced":[140],"with":[141,156,346],"coded":[143],"representation":[144],"included":[146],"its":[147],"ID.":[150],"generated":[153],"an":[154],"index":[155],"one":[157],"entry":[158],"per":[159],"instance":[160],"document,":[166],"where":[167],"presence":[169],"or":[170,294,305,317,373],"absence":[171],"negation":[173,314,337],"recorded.":[178],"This":[179],"information":[180],"mark":[184],"up":[185],"each":[189],"document":[190],"color-coding":[192],"it":[193,196],"make":[195],"easier":[197],"inspect.":[199],"then":[203],"evaluated":[204],"two":[206],"ways:":[207],"1)":[208],"60":[213,276],"(30":[215],"discharge":[216],"summaries,":[217],"30":[218],"surgical":[219],"notes)":[220],"marked-up":[221,265],"visually":[226],"quantify":[228],"false-positive":[229],"false-negative":[231],"results;":[232],"2)":[234],"different":[236],"10":[240,344],"independently":[243],"examined":[244],"negatives":[246],"human":[249,290],"observer":[250],"Negfinder,":[253],"results":[256],"compared.":[258],"RESULTS:":[259],"In":[260,331],"first":[262],"evaluation":[263,334],"documents,":[266,277,345],"8,358":[267],"which":[279],"544":[280],"negations":[282],"verified":[288],"observation":[291],"(true-positive":[292],"results,":[293,304,316],"TPs).":[295],"Thirteen":[296],"wrongly":[299],"flagged":[300],"(false-positive":[303],"FPs),":[306],"missed":[310],"27":[311],"(false-negative":[315],"FNs),":[318],"yielding":[319,354],"sensitivity":[321,356],"95.3":[323],"percent":[324,359,379],"specificity":[327,362],"97.7":[329],"percent.":[330,365],"second":[333],"independent":[336],"detection,":[338],"1,869":[339],"135":[347],"TPs,":[348],"12":[349],"FPs,":[350],"6":[352],"FNs,":[353],"95.7":[358],"91.8":[364],"One":[366],"words":[369],"\"no,\"":[370],"\"denies/denied,\"":[371],"\"not,\"":[372],"\"without\"":[374],"present":[376],"92.5":[378],"all":[381],"negations.":[382],"CONCLUSIONS:":[383],"Negation":[384],"reliably":[393],"simple":[397],"strategy.":[398],"reliability":[400],"detection":[402],"depends":[403],"several":[405],"factors,":[406],"important":[409],"being":[410],"accuracy":[412],"matching.":[415]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":18},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":20}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
