{"id":"https://openalex.org/W4226023749","doi":"https://doi.org/10.1109/jbhi.2022.3164937","title":"Noise-Immune Extreme Ensemble Learning for Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus","display_name":"Noise-Immune Extreme Ensemble Learning for Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus","publication_year":2022,"publication_date":"2022-04-05","ids":{"openalex":"https://openalex.org/W4226023749","doi":"https://doi.org/10.1109/jbhi.2022.3164937","pmid":"https://pubmed.ncbi.nlm.nih.gov/35380977"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3164937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3164937","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101963905","display_name":"Ye Yuan","orcid":"https://orcid.org/0000-0002-7595-4541"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["College of Engineering, Shantou University, Shantou, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009978401","display_name":"Tianhong Quan","orcid":"https://orcid.org/0000-0003-4807-2997"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianhong Quan","raw_affiliation_strings":["College of Engineering, Shantou University, Shantou, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056762119","display_name":"Youyi Song","orcid":"https://orcid.org/0000-0002-1641-967X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Youyi Song","raw_affiliation_strings":["Centre of Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Centre of Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048919432","display_name":"Jitian Guan","orcid":"https://orcid.org/0000-0002-8910-7052"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jitian Guan","raw_affiliation_strings":["Department of Radiology, the 2nd Affiliated Hospital, Medical College, Shantou University, Shantou, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, the 2nd Affiliated Hospital, Medical College, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091806934","display_name":"Teng Zhou","orcid":"https://orcid.org/0000-0003-1920-8891"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Teng Zhou","raw_affiliation_strings":["College of Engineering, Shantou University, Shantou, China","Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Shantou, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Shantou, China","institution_ids":["https://openalex.org/I4210098034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111712740","display_name":"Renhua Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renhua Wu","raw_affiliation_strings":["Department of Radiology, the 2nd Affiliated Hospital, Medical College, Shantou University, Shantou, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, the 2nd Affiliated Hospital, Medical College, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101963905"],"corresponding_institution_ids":["https://openalex.org/I32574673"],"apc_list":null,"apc_paid":null,"fwci":3.2347,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92548747,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"26","issue":"7","first_page":"3495","last_page":"3506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10308","display_name":"Systemic Lupus Erythematosus Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10308","display_name":"Systemic Lupus Erythematosus Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.977400004863739,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/feature","display_name":"Feature (linguistics)","score":0.6144515872001648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6094692349433899},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.5886071920394897},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5609568953514099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5215413570404053},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5079451203346252},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5004310607910156},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4916835427284241},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.46888917684555054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45757031440734863},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.41582822799682617},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.30999061465263367},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24266508221626282},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17630374431610107},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1474972665309906},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10943672060966492}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6144515872001648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6094692349433899},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.5886071920394897},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5609568953514099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5215413570404053},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5079451203346252},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5004310607910156},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4916835427284241},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.46888917684555054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45757031440734863},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.41582822799682617},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30999061465263367},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24266508221626282},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17630374431610107},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1474972665309906},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10943672060966492},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008180","descriptor_name":"Lupus Erythematosus, Systemic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008180","descriptor_name":"Lupus Erythematosus, Systemic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008180","descriptor_name":"Lupus Erythematosus, Systemic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020945","descriptor_name":"Lupus Vasculitis, Central Nervous System","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D020945","descriptor_name":"Lupus Vasculitis, Central Nervous System","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D020945","descriptor_name":"Lupus Vasculitis, Central Nervous System","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D042241","descriptor_name":"Early Diagnosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D042241","descriptor_name":"Early Diagnosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D042241","descriptor_name":"Early Diagnosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2022.3164937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3164937","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:35380977","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35380977","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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1084344902","display_name":null,"funder_award_id":"2020LKSFG05D","funder_id":"https://openalex.org/F4320309778","funder_display_name":"Li Ka Shing Foundation"},{"id":"https://openalex.org/G2309487602","display_name":null,"funder_award_id":"82020108016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4805122084","display_name":null,"funder_award_id":"61902232","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309778","display_name":"Li Ka Shing Foundation","ror":"https://ror.org/01g6g9h28"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1728025697","https://openalex.org/W1995053088","https://openalex.org/W2002896125","https://openalex.org/W2026131661","https://openalex.org/W2028759731","https://openalex.org/W2143043751","https://openalex.org/W2149350210","https://openalex.org/W2163522074","https://openalex.org/W2300151504","https://openalex.org/W2306302840","https://openalex.org/W2323504902","https://openalex.org/W2509431323","https://openalex.org/W2561964848","https://openalex.org/W2605926466","https://openalex.org/W2752569530","https://openalex.org/W2808843415","https://openalex.org/W2887350367","https://openalex.org/W2904714901","https://openalex.org/W2948541098","https://openalex.org/W2954968328","https://openalex.org/W2966111606","https://openalex.org/W2982089105","https://openalex.org/W2996246867","https://openalex.org/W2998525360","https://openalex.org/W2999274113","https://openalex.org/W3009097822","https://openalex.org/W3020780241","https://openalex.org/W3024853581","https://openalex.org/W3089914992","https://openalex.org/W3094324035","https://openalex.org/W3094384020","https://openalex.org/W3105715936","https://openalex.org/W3106897451","https://openalex.org/W3109298779","https://openalex.org/W3128369627","https://openalex.org/W3151612590","https://openalex.org/W3156954244","https://openalex.org/W3157651036","https://openalex.org/W3192366145","https://openalex.org/W4205276722","https://openalex.org/W4205451459","https://openalex.org/W4205940862","https://openalex.org/W4212877785","https://openalex.org/W4221078073","https://openalex.org/W6693397755","https://openalex.org/W6725504309","https://openalex.org/W6739901393","https://openalex.org/W6786357631"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W2804652951","https://openalex.org/W2968645206","https://openalex.org/W2556335056","https://openalex.org/W2002678693","https://openalex.org/W2743832667","https://openalex.org/W4292523377"],"abstract_inverted_index":{"Early":[0],"diagnosis":[1,82,102,156],"is":[2,22,161],"currently":[3],"the":[4,10,31,36,46,59,100,118,149,155],"most":[5],"effective":[6],"way":[7],"of":[8,12,62,103,125,152],"saving":[9],"life":[11],"patients":[13],"with":[14,168],"neuropsychiatric":[15],"systemic":[16],"lupus":[17],"erythematosus":[18],"(NPSLE).":[19],"However,":[20],"it":[21],"rather":[23],"difficult":[24],"to":[25,35,141,146],"detect":[26],"this":[27,63],"terrible":[28],"disease":[29,64],"at":[30],"early":[32,60,101],"stage,":[33],"due":[34],"subtle":[37],"and":[38,131,173],"elusive":[39],"symptomatic":[40],"signals.":[41],"Recent":[42],"studies":[43],"show":[44],"that":[45,78,109],"<sup>1</sup>H-MRS":[47,71,96],"(proton":[48],"magnetic":[49,67],"resonance":[50,68],"spectroscopy)":[51],"imaging":[52,69],"technique":[53,92],"can":[54,79,128],"capture":[55],"more":[56,76],"information":[57,139],"reflecting":[58],"appearance":[61],"than":[65],"conventional":[66],"techniques.":[70],"data,":[72],"however,":[73],"also":[74],"presents":[75],"noises":[77,127,153],"bring":[80],"serious":[81],"bias.":[83],"We":[84],"hence":[85],"proposed":[86,159],"a":[87,164],"noise-immune":[88],"extreme":[89,120],"ensemble":[90],"learning":[91,121],"for":[93,98],"effectively":[94],"leveraging":[95],"data":[97],"advancing":[99],"NPSLE.":[104],"Our":[105],"main":[106],"results":[107],"are":[108],"1)":[110],"by":[111],"developing":[112],"generalized":[113],"maximum":[114],"correntropy":[115],"criterion":[116],"in":[117],"kernel":[119],"setting,":[122],"many":[123],"types":[124],"non-Gaussian":[126],"be":[129],"distinguished,":[130],"2)":[132],"weighted":[133],"recursive":[134],"feature":[135],"elimination,":[136],"using":[137],"maximal":[138],"coefficient":[140],"weight":[142],"feature's":[143],"importance,":[144],"helps":[145],"further":[147],"alleviate":[148],"bad":[150],"impact":[151],"on":[154,163],"performance.":[157],"The":[158],"method":[160],"assessed":[162],"publicly":[165],"available":[166],"dataset":[167],"97.5%":[169],"accuracy,":[170],"95.8%":[171],"sensitivity":[172],"99.9%":[174],"specificity,":[175],"which":[176],"well":[177],"demonstrates":[178],"its":[179],"efficacy.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}