{"id":"https://openalex.org/W2017471181","doi":"https://doi.org/10.1109/iembs.2011.6090702","title":"Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring","display_name":"Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2017471181","doi":"https://doi.org/10.1109/iembs.2011.6090702","mag":"2017471181","pmid":"https://pubmed.ncbi.nlm.nih.gov/22254858"},"language":"en","primary_location":{"id":"doi:10.1109/iembs.2011.6090702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iembs.2011.6090702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-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/A5103126807","display_name":"Mattia Zanon","orcid":"https://orcid.org/0000-0002-3831-1563"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"M. Zanon","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Via G Gradenigo 6/B, 35131 Padova, Italy","Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Via G Gradenigo 6/B, 35131 Padova, Italy","institution_ids":[]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046138635","display_name":"Michela Riz","orcid":"https://orcid.org/0009-0008-8498-1884"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Riz","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy","Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071251680","display_name":"Giovanni Sparacino","orcid":"https://orcid.org/0000-0002-3248-1393"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Sparacino","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy","Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081035885","display_name":"Andrea Facchinetti","orcid":"https://orcid.org/0000-0001-8041-2280"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Facchinetti","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy","Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056374578","display_name":"Roland E. Suri","orcid":"https://orcid.org/0000-0001-9472-4533"},"institutions":[{"id":"https://openalex.org/I4210167176","display_name":"R\u00fctter Soceco (Switzerland)","ror":"https://ror.org/05n6yb463","country_code":"CH","type":"company","lineage":["https://openalex.org/I4210167176"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"R. E. Suri","raw_affiliation_strings":["Solianis Monitoring AG, Zurich, Switzerland","Solianis Monitoring AG, Zu\u00a8rich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Solianis Monitoring AG, Zurich, Switzerland","institution_ids":["https://openalex.org/I4210167176"]},{"raw_affiliation_string":"Solianis Monitoring AG, Zu\u00a8rich, Switzerland","institution_ids":["https://openalex.org/I4210167176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084992661","display_name":"Mark S. Talary","orcid":"https://orcid.org/0000-0001-8073-0852"},"institutions":[{"id":"https://openalex.org/I4210167176","display_name":"R\u00fctter Soceco (Switzerland)","ror":"https://ror.org/05n6yb463","country_code":"CH","type":"company","lineage":["https://openalex.org/I4210167176"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"M. S. Talary","raw_affiliation_strings":["Solianis Monitoring AG, Zurich, Switzerland","Solianis Monitoring AG, Zu\u00a8rich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Solianis Monitoring AG, Zurich, Switzerland","institution_ids":["https://openalex.org/I4210167176"]},{"raw_affiliation_string":"Solianis Monitoring AG, Zu\u00a8rich, Switzerland","institution_ids":["https://openalex.org/I4210167176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026228486","display_name":"Claudio Cobelli","orcid":"https://orcid.org/0000-0002-0169-6682"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C. Cobelli","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy","Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5103126807"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":2.1349,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.8826992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2011","issue":null,"first_page":"2538","last_page":"2541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9817000031471252,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.8022870421409607},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.6019552946090698},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.5863338708877563},{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"Ordinary least squares","score":0.5635198950767517},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4842629134654999},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.4839913845062256},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4837684631347656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4746994376182556},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.464438259601593},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42874953150749207},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.41260528564453125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40106135606765747},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34543877840042114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3315615653991699},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3241562247276306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31485891342163086}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.8022870421409607},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.6019552946090698},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.5863338708877563},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.5635198950767517},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4842629134654999},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.4839913845062256},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4837684631347656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4746994376182556},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.464438259601593},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42874953150749207},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.41260528564453125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40106135606765747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34543877840042114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3315615653991699},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3241562247276306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31485891342163086},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":"Q000097","qualifier_name":"blood","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":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015374","descriptor_name":"Biosensing Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015374","descriptor_name":"Biosensing Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015374","descriptor_name":"Biosensing Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/iembs.2011.6090702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iembs.2011.6090702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:22254858","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22254858","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:www.research.unipd.it:11577/2517026","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/2517026","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6399999856948853,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1554944419","https://openalex.org/W1976251851","https://openalex.org/W2007497882","https://openalex.org/W2010464045","https://openalex.org/W2014299017","https://openalex.org/W2034832817","https://openalex.org/W2059808080","https://openalex.org/W2063978378","https://openalex.org/W2101508556","https://openalex.org/W2114353427","https://openalex.org/W2119862467","https://openalex.org/W2135046866","https://openalex.org/W2139729200","https://openalex.org/W2150894223","https://openalex.org/W2171033594","https://openalex.org/W2171613573"],"related_works":["https://openalex.org/W4327936212","https://openalex.org/W4386365924","https://openalex.org/W4286984061","https://openalex.org/W4309298396","https://openalex.org/W3156035656","https://openalex.org/W2296480322","https://openalex.org/W2804784031","https://openalex.org/W2606287246","https://openalex.org/W2349542682","https://openalex.org/W3006224844"],"abstract_inverted_index":{"New":[0],"scenarios":[1],"in":[2,8],"diabetes":[3],"treatment":[4],"have":[5],"been":[6],"opened":[7],"the":[9,68,72,77,91,97,126,134],"last":[10],"ten":[11],"years":[12],"by":[13],"continuous":[14],"glucose":[15,69,138,161],"monitoring":[16],"(CGM)":[17],"sensors.":[18,58],"In":[19],"particular,":[20],"Non-Invasive":[21],"CGM":[22],"sensors":[23],"are":[24,30,174],"particularly":[25],"appealing,":[26],"even":[27],"though":[28],"they":[29],"still":[31],"at":[32],"an":[33,45],"early":[34],"stage":[35],"of":[36,93,99,136,160],"development.":[37],"Solianis":[38],"Monitoring":[39],"AG":[40],"(Z\u00fcrich,":[41],"Switzerland)":[42],"has":[43],"proposed":[44],"approach":[46],"based":[47],"on":[48,130],"a":[49,62,80,106,131],"multisensor":[50,143],"concept,":[51],"embedding":[52],"primarily":[53],"dielectric":[54],"spectroscopy":[55],"and":[56,86,117,121],"optical":[57],"This":[59],"concept":[60],"requires":[61],"mathematical":[63],"model":[64,84,127,168],"able":[65],"to":[66],"reconstruct":[67],"concentration":[70],"from":[71,141,150],"150":[73],"channels":[74],"measured":[75],"with":[76],"device.":[78],"Assuming":[79],"multivariate":[81],"linear":[82],"regression":[83],"(valid":[85],"usable":[87,102],"for":[88,103],"different":[89],"individuals),":[90],"aim":[92],"this":[94],"paper":[95],"is":[96,128,145],"assessment":[98],"some":[100],"techniques":[101],"determining":[104],"such":[105,171],"model,":[107],"namely":[108],"Ordinary":[109],"Least":[110,114,118],"Squares":[111,115],"(OLS),":[112],"Partial":[113],"(PLS)":[116],"Absolute":[119],"Shrinkage":[120],"Selection":[122],"Operator":[123],"(LASSO).":[124],"Once":[125],"identified":[129],"training":[132],"set,":[133],"accuracy":[135],"prospective":[137],"profiles":[139],"estimated":[140],"\"unseen\"":[142],"data":[144],"assessed.":[146],"Preliminary":[147],"results":[148],"obtained":[149],"18":[151],"in-clinic":[152],"study":[153],"days":[154],"show":[155],"that":[156],"sufficiently":[157],"accurate":[158],"reconstruction":[159],"levels":[162],"can":[163],"be":[164],"achieved":[165],"if":[166],"suitable":[167],"identification":[169],"techniques,":[170],"as":[172],"LASSO,":[173],"considered.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}