{"id":"https://openalex.org/W3208866949","doi":"https://doi.org/10.3390/info12110451","title":"A Text Mining Approach in the Classification of Free-Text Cancer Pathology Reports from the South African National Health Laboratory Services","display_name":"A Text Mining Approach in the Classification of Free-Text Cancer Pathology Reports from the South African National Health Laboratory Services","publication_year":2021,"publication_date":"2021-10-30","ids":{"openalex":"https://openalex.org/W3208866949","doi":"https://doi.org/10.3390/info12110451","mag":"3208866949"},"language":"en","primary_location":{"id":"doi:10.3390/info12110451","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info12110451","pdf_url":"https://www.mdpi.com/2078-2489/12/11/451/pdf?version=1635741900","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/12/11/451/pdf?version=1635741900","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058188661","display_name":"Okechinyere Achilonu","orcid":"https://orcid.org/0000-0003-2911-0011"},"institutions":[{"id":"https://openalex.org/I192619145","display_name":"University of the Witwatersrand","ror":"https://ror.org/03rp50x72","country_code":"ZA","type":"education","lineage":["https://openalex.org/I192619145"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Okechinyere J. Achilonu","raw_affiliation_strings":["Division of Epidemiology and Biostatistics, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Parktown, Johannesburg 2000, South Africa"],"raw_orcid":"https://orcid.org/0000-0003-2911-0011","affiliations":[{"raw_affiliation_string":"Division of Epidemiology and Biostatistics, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Parktown, Johannesburg 2000, South Africa","institution_ids":["https://openalex.org/I192619145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037134838","display_name":"Victor Olago","orcid":"https://orcid.org/0000-0002-0154-0688"},"institutions":[{"id":"https://openalex.org/I107920810","display_name":"National Health Laboratory Service","ror":"https://ror.org/00znvbk37","country_code":"ZA","type":"government","lineage":["https://openalex.org/I107920810"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Victor Olago","raw_affiliation_strings":["National Cancer Registry, National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg 2131, South Africa"],"raw_orcid":"https://orcid.org/0000-0002-0154-0688","affiliations":[{"raw_affiliation_string":"National Cancer Registry, National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg 2131, South Africa","institution_ids":["https://openalex.org/I107920810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071570450","display_name":"Elvira Singh","orcid":"https://orcid.org/0000-0003-1259-2122"},"institutions":[{"id":"https://openalex.org/I107920810","display_name":"National Health Laboratory Service","ror":"https://ror.org/00znvbk37","country_code":"ZA","type":"government","lineage":["https://openalex.org/I107920810"]},{"id":"https://openalex.org/I192619145","display_name":"University of the Witwatersrand","ror":"https://ror.org/03rp50x72","country_code":"ZA","type":"education","lineage":["https://openalex.org/I192619145"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Elvira Singh","raw_affiliation_strings":["Division of Epidemiology and Biostatistics, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Parktown, Johannesburg 2000, South Africa","National Cancer Registry, National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg 2131, South Africa"],"raw_orcid":"https://orcid.org/0000-0003-1259-2122","affiliations":[{"raw_affiliation_string":"Division of Epidemiology and Biostatistics, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Parktown, Johannesburg 2000, South Africa","institution_ids":["https://openalex.org/I192619145"]},{"raw_affiliation_string":"National Cancer Registry, National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg 2131, South Africa","institution_ids":["https://openalex.org/I107920810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112229626","display_name":"Ren\u00e9 M. J. C. Eijkemans","orcid":null},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]},{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ren\u00e9 M. J. C. Eijkemans","raw_affiliation_strings":["Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht University, 3584 Utrecht, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht University, 3584 Utrecht, The Netherlands","institution_ids":["https://openalex.org/I3018483916","https://openalex.org/I193662353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048563580","display_name":"Gideon Nimako","orcid":"https://orcid.org/0000-0002-8798-0712"},"institutions":[{"id":"https://openalex.org/I192619145","display_name":"University of the Witwatersrand","ror":"https://ror.org/03rp50x72","country_code":"ZA","type":"education","lineage":["https://openalex.org/I192619145"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Gideon Nimako","raw_affiliation_strings":["Division of Epidemiology and Biostatistics, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Parktown, Johannesburg 2000, South Africa","Industrialization, Science, Technology and Innovation Hub, African Union Development Agency (AUDA-NEPAD), Johannesburg 1685, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Epidemiology and Biostatistics, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Parktown, Johannesburg 2000, South Africa","institution_ids":["https://openalex.org/I192619145"]},{"raw_affiliation_string":"Industrialization, Science, Technology and Innovation Hub, African Union Development Agency (AUDA-NEPAD), Johannesburg 1685, South Africa","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068881552","display_name":"Eustasius Musenge","orcid":"https://orcid.org/0000-0002-3382-2372"},"institutions":[{"id":"https://openalex.org/I192619145","display_name":"University of the Witwatersrand","ror":"https://ror.org/03rp50x72","country_code":"ZA","type":"education","lineage":["https://openalex.org/I192619145"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Eustasius Musenge","raw_affiliation_strings":["Division of Epidemiology and Biostatistics, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Parktown, Johannesburg 2000, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Epidemiology and Biostatistics, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Parktown, Johannesburg 2000, South Africa","institution_ids":["https://openalex.org/I192619145"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058188661"],"corresponding_institution_ids":["https://openalex.org/I192619145"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.6513,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.67513881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":"11","first_page":"451","last_page":"451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9983999729156494,"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":0.9983999729156494,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9916999936103821,"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/T10028","display_name":"Topic Modeling","score":0.9911999702453613,"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/feature-selection","display_name":"Feature selection","score":0.7447744011878967},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6399244070053101},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6390284299850464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5694724917411804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5660712122917175},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.48567426204681396},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4592243731021881},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44065284729003906},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4348950982093811},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3859870135784149},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3794161081314087},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3629041612148285},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35556137561798096}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7447744011878967},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6399244070053101},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6390284299850464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5694724917411804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5660712122917175},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.48567426204681396},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4592243731021881},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44065284729003906},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4348950982093811},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3859870135784149},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3794161081314087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3629041612148285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35556137561798096},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info12110451","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info12110451","pdf_url":"https://www.mdpi.com/2078-2489/12/11/451/pdf?version=1635741900","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:611d2a80aac04663b70ecec288748ed4","is_oa":true,"landing_page_url":"https://doaj.org/article/611d2a80aac04663b70ecec288748ed4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 12, Iss 11, p 451 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/12/11/451/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/info12110451","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information; Volume 12; Issue 11; Pages: 451","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info12110451","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info12110451","pdf_url":"https://www.mdpi.com/2078-2489/12/11/451/pdf?version=1635741900","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G229552161","display_name":null,"funder_award_id":"107754/Z/15/Z","funder_id":"https://openalex.org/F4320307773","funder_display_name":"GlaxoSmithKline"}],"funders":[{"id":"https://openalex.org/F4320307773","display_name":"GlaxoSmithKline","ror":"https://ror.org/01xsqw823"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3208866949.pdf","grobid_xml":"https://content.openalex.org/works/W3208866949.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1550946049","https://openalex.org/W1696053030","https://openalex.org/W1831050183","https://openalex.org/W1922125022","https://openalex.org/W1975415323","https://openalex.org/W2033144557","https://openalex.org/W2042655936","https://openalex.org/W2076424959","https://openalex.org/W2094937180","https://openalex.org/W2096642467","https://openalex.org/W2118020653","https://openalex.org/W2149684865","https://openalex.org/W2153081307","https://openalex.org/W2157585166","https://openalex.org/W2166297582","https://openalex.org/W2167101736","https://openalex.org/W2170408491","https://openalex.org/W2263896607","https://openalex.org/W2559137209","https://openalex.org/W2589805776","https://openalex.org/W2605389978","https://openalex.org/W2615780682","https://openalex.org/W2753048242","https://openalex.org/W2802642557","https://openalex.org/W2895553377","https://openalex.org/W2942783526","https://openalex.org/W2981842822","https://openalex.org/W3009583110","https://openalex.org/W3028860567","https://openalex.org/W3034465171","https://openalex.org/W3038010422","https://openalex.org/W3087461787","https://openalex.org/W3093393153","https://openalex.org/W3102027041","https://openalex.org/W3119703189","https://openalex.org/W3120819023","https://openalex.org/W3205138306","https://openalex.org/W4232159537","https://openalex.org/W4285719527","https://openalex.org/W6633001249","https://openalex.org/W6683320453","https://openalex.org/W6738105530"],"related_works":["https://openalex.org/W4388745254","https://openalex.org/W2989490741","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163"],"abstract_inverted_index":{"A":[0],"cancer":[1,47,87,203,259],"pathology":[2,54,89,241],"report":[3],"is":[4],"a":[5,50,236],"valuable":[6],"medical":[7],"document":[8],"that":[9,177],"provides":[10],"information":[11,62,256],"for":[12,198,218,249,258],"clinical":[13,160],"management":[14],"of":[15,20,30,46,53,61,80,96,102,110,130,135,167,181,193,220,246,254],"the":[16,28,43,78,94,108,136,168,174,178,221,244],"patient":[17],"and":[18,59,70,85,91,100,114,128,196,201,231,243,252,261],"evaluation":[19,129],"health":[21],"care.":[22],"However,":[23],"there":[24],"are":[25,163],"variations":[26],"in":[27,32,107,240],"quality":[29,79],"reporting":[31,242],"free-text":[33,88],"style":[34],"formats,":[35],"ranging":[36],"from":[37,63],"comprehensive":[38],"to":[39,75],"incomplete":[40],"reporting.":[41],"Moreover,":[42],"increasing":[44],"incidence":[45],"has":[48],"generated":[49],"high":[51,228],"throughput":[52],"reports.":[55],"Hence,":[56],"manual":[57],"extraction":[58],"classification":[60,109,211],"these":[64],"reports":[65,90,111],"can":[66],"be":[67],"intrinsically":[68],"complex":[69],"resource-intensive.":[71],"This":[72,233],"study":[73,118,234],"aimed":[74],"(i)":[76],"evaluate":[77],"over":[81],"80,000":[82],"breast,":[83,199],"colorectal,":[84,200],"prostate":[86,202],"(ii)":[92],"assess":[93],"effectiveness":[95],"random":[97],"forest":[98],"(RF)":[99],"variants":[101],"support":[103],"vector":[104],"machine":[105],"(SVM)":[106],"into":[112],"benign":[113],"malignant":[115],"classes.":[116],"The":[117,133,154,206,224],"approach":[119],"comprises":[120],"data":[121],"preprocessing,":[122],"visualisation,":[123],"feature":[124,142,151,155,188,222],"selections,":[125],"text":[126,247],"classification,":[127,204],"performance":[131,134,212],"metrics.":[132],"classifiers":[137,175,225],"was":[138,184],"evaluated":[139],"across":[140,186],"various":[141,187],"sizes,":[143,189],"which":[144,162],"were":[145],"jointly":[146],"selected":[147],"by":[148],"four":[149],"filter":[150],"selection":[152,156],"methods.":[153],"methods":[157],"identified":[158],"established":[159],"terms,":[161],"synonymous":[164],"with":[165,190,214],"each":[166],"three":[169],"cancers.":[170],"Uni-gram":[171],"tokenisation":[172],"using":[173],"showed":[176],"predictive":[179],"power":[180],"RF":[182],"model":[183],"consistent":[185],"overall":[191],"F-scores":[192],"95.2%,":[194],"94.0%,":[195],"95.3%":[197],"respectively.":[205],"radial":[207],"SVM":[208],"achieved":[209,227],"better":[210],"compared":[213],"its":[215],"linear":[216],"variant":[217],"most":[219],"sizes.":[223],"also":[226],"precision,":[229],"recall,":[230],"accuracy.":[232],"supports":[235],"nationally":[237],"agreed":[238],"standard":[239],"use":[245],"mining":[248],"encoding,":[250],"classifying,":[251],"production":[253],"high-quality":[255],"abstractions":[257],"prognosis":[260],"research.":[262]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
