{"id":"https://openalex.org/W2161582485","doi":"https://doi.org/10.1109/fuzzy.2011.6007606","title":"Predicting septic shock outcomes in a database with missing data using fuzzy modeling: Influence of pre-processing techniques on real-world data-based classification","display_name":"Predicting septic shock outcomes in a database with missing data using fuzzy modeling: Influence of pre-processing techniques on real-world data-based classification","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2161582485","doi":"https://doi.org/10.1109/fuzzy.2011.6007606","mag":"2161582485"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2011.6007606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5086127827","display_name":"R\u00faben Duarte M. A. Pereira","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruben D. M. A. Pereira","raw_affiliation_strings":["MIT-Portugal Program, Bio-Engineering Systems, MIT / HMS / IST, Lisbon, MA, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT-Portugal Program, Bio-Engineering Systems, MIT / HMS / IST, Lisbon, MA, Portugal","institution_ids":["https://openalex.org/I4210116219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103359179","display_name":"Andr\u00e9 S. Fialho","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andre S. Fialho","raw_affiliation_strings":["MIT-Portugal Program, Bio-Engineering Systems, MIT / HMS / IST, Lisbon, MA, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT-Portugal Program, Bio-Engineering Systems, MIT / HMS / IST, Lisbon, MA, Portugal","institution_ids":["https://openalex.org/I4210116219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007699192","display_name":"Federico Cismondi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Federico Cismondi","raw_affiliation_strings":["MIT-Portugal Program, Bio-Engineering Systems, MIT / HMS / IST, Lisbon, MA, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT-Portugal Program, Bio-Engineering Systems, MIT / HMS / IST, Lisbon, MA, Portugal","institution_ids":["https://openalex.org/I4210116219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023524727","display_name":"Susana M. Vieira","orcid":"https://orcid.org/0000-0001-7961-1004"},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Susana M. Vieira","raw_affiliation_strings":["Erasmus School of Economics, Econometric Institute, Erasmus University Rotterdam, Rotterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Erasmus School of Economics, Econometric Institute, Erasmus University Rotterdam, Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I913958620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068474295","display_name":"Jo\u00e3o M. C. Sousa","orcid":"https://orcid.org/0000-0002-8030-4746"},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Joao M. C. Sousa","raw_affiliation_strings":["Erasmus School of Economics, Econometric Institute, Erasmus University Rotterdam, Rotterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Erasmus School of Economics, Econometric Institute, Erasmus University Rotterdam, Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I913958620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087774814","display_name":"Rui Almeida","orcid":"https://orcid.org/0000-0002-7844-0167"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rui J. Almeida","raw_affiliation_strings":["Dept. of Mechanical Engineering, CIS/IDMEC-LAETA, Instituto Superior T\u00e9cnico (IST), Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mechanical Engineering, CIS/IDMEC-LAETA, Instituto Superior T\u00e9cnico (IST), Lisbon, Portugal","institution_ids":["https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080242338","display_name":"Uzay Kaymak","orcid":"https://orcid.org/0000-0002-4500-9098"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Uzay Kaymak","raw_affiliation_strings":["Dept. of Mechanical Engineering, CIS/IDMEC-LAETA, Instituto Superior T\u00e9cnico (IST), Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mechanical Engineering, CIS/IDMEC-LAETA, Instituto Superior T\u00e9cnico (IST), Lisbon, Portugal","institution_ids":["https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105038945","display_name":"Shane R. Reti","orcid":null},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shane R. Reti","raw_affiliation_strings":["Beth Israel Deaconess Medical Center, Harvard Medical School (HMS), Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beth Israel Deaconess Medical Center, Harvard Medical School (HMS), Boston, MA, USA","institution_ids":["https://openalex.org/I1316535847","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109132072","display_name":"Michael D. Howell","orcid":null},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael D. Howell","raw_affiliation_strings":["Beth Israel Deaconess Medical Center, Harvard Medical School (HMS), Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beth Israel Deaconess Medical Center, Harvard Medical School (HMS), Boston, MA, USA","institution_ids":["https://openalex.org/I1316535847","https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105038953","display_name":"Stan N. Finkelstein","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092658","display_name":"Harvard\u2013MIT Division of Health Sciences and Technology","ror":"https://ror.org/00jjeh629","country_code":"US","type":"education","lineage":["https://openalex.org/I4210092658"]},{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stan N. Finkelstein","raw_affiliation_strings":["Engineering Systems Division and Harvard-MIT Division of Health Sciences & Technology, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Systems Division and Harvard-MIT Division of Health Sciences & Technology, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210092658","https://openalex.org/I63966007","https://openalex.org/I4210116219"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2942,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84939881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"31","issue":null,"first_page":"2507","last_page":"2512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9904000163078308,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9478999972343445,"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/missing-data","display_name":"Missing data","score":0.7760727405548096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7677053213119507},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7191165089607239},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7148856520652771},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5989325046539307},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5963688492774963},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.479853093624115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3961256742477417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3725433349609375}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7760727405548096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7677053213119507},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7191165089607239},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7148856520652771},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5989325046539307},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5963688492774963},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.479853093624115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3961256742477417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3725433349609375}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/fuzzy.2011.6007606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.eur.nl:openaire_cris_publications/3004ecd0-385a-4422-bb23-0cffd468a686","is_oa":false,"landing_page_url":"https://pure.eur.nl/en/publications/3004ecd0-385a-4422-bb23-0cffd468a686","pdf_url":null,"source":{"id":"https://openalex.org/S4306401266","display_name":"EUR Research Repository (Erasmus University Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pereira, RDMA, Almeida e Santos Nogueira, R, Kaymak, U, da Silva Vieira, SM, Sousa, JMC, Reti, SR, Howell, MD & Finkelstein, SN 2011, Predicting septic shock outcomes in a database with missing data using fuzzy modeling: Influence of pre-processing techniques on real-world data-based classification. in Proceedings of the 2011 IEEE International Conference on Fuzzy Systems. pp. 2507-2512. https://doi.org/10.1109/FUZZY.2011.6007606","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/04e8e27f-ec94-4bbe-b68e-cea26fbe452a","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/04e8e27f-ec94-4bbe-b68e-cea26fbe452a","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pereira, R D M A, Fialho, A T S, Cismondi, F, Vieira, S M, Costa Sousa, da, J M, Almeida, R J, Kaymak, U, Reti, S R, Howell, M D & Finkelstein, S N 2011, Predicting septic shock outcomes in a database with missing data using fuzzy modeling : influence of pre-processing techniques on real world data-based classification. in Proceedings of the 2011 IEEE international Conference on Fuzzy Systems (FUZZ), 27-30 June, 2011, Taipei, Taiwan. Institute of Electrical and Electronics Engineers, Piscataway, USA, pp. 2507-2512, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, 27/06/11. https://doi.org/10.1109/FUZZY.2011.6007606","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:719164","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=719164","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:library.tue.nl:719164","is_oa":false,"landing_page_url":"http://repository.tue.nl/719164","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:tue:oai:pure.tue.nl:publications/04e8e27f-ec94-4bbe-b68e-cea26fbe452a","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/04e8e27f-ec94-4bbe-b68e-cea26fbe452a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2011 IEEE international Conference on Fuzzy Systems (FUZZ), 27-30 June, 2011, Taipei, Taiwan, 2507 - 2512","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1481824277","https://openalex.org/W1550443206","https://openalex.org/W1554427862","https://openalex.org/W1594270882","https://openalex.org/W1776573578","https://openalex.org/W2003910860","https://openalex.org/W2014797612","https://openalex.org/W2024975670","https://openalex.org/W2031459800","https://openalex.org/W2044758663","https://openalex.org/W2079325629","https://openalex.org/W2109103957","https://openalex.org/W2138036661","https://openalex.org/W2147531316","https://openalex.org/W2159798994","https://openalex.org/W2480680997","https://openalex.org/W2599527603","https://openalex.org/W4300187280","https://openalex.org/W6628843922"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W1629127207","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021"],"abstract_inverted_index":{"Real-world":[0],"databases":[1],"often":[2],"contain":[3],"missing":[4,40,47],"data":[5,48,120],"and":[6,96],"existing":[7],"correction":[8],"algorithms":[9],"deliver":[10],"varying":[11],"performance.":[12],"Also,":[13],"most":[14],"modeling":[15],"techniques":[16,44],"are":[17],"not":[18],"suitable":[19],"to":[20,32,111,115],"deal":[21],"with":[22,55,142],"them":[23],"automatically.":[24],"In":[25,62],"this":[26,63,137],"study":[27],"we":[28,65],"examine":[29],"different":[30],"approaches":[31],"predicting":[33],"septic":[34],"shock":[35],"in":[36],"the":[37,77,90,99,103,119,127],"presence":[38],"of":[39,118],"data.":[41],"Some":[42],"preprocessing":[43],"for":[45,124],"managing":[46],"include":[49],"disregarding":[50],"data,":[51],"or":[52],"replacing":[53],"it":[54],"information":[56],"that":[57,67],"by":[58,71,81,97,139],"design":[59],"introduces":[60],"bias.":[61],"study,":[64],"show":[66],"predictive":[68],"performance":[69,129],"improves":[70],"employing":[72],"a":[73,83],"minimum":[74],"pre-processing":[75],"technique,":[76],"Zero-Order-Hold":[78],"(ZOH)":[79],"method,":[80],"applying":[82],"Fuzzy":[84],"C-Means":[85],"clustering":[86],"technique":[87],"based":[88],"on":[89],"partial":[91],"distance":[92],"calculation":[93],"strategy":[94],"(FCM-PDS)":[95],"computing":[98],"final":[100],"classification":[101,128],"regarding":[102],"samples":[104],"from":[105],"each":[106],"patient.":[107],"Performance":[108],"improvements":[109],"continue":[110],"occur":[112],"where":[113],"up":[114],"approximately":[116],"60%":[117],"is":[121,131],"missing,":[122],"though":[123],"higher":[125],"percentage":[126],"still":[130],"statistically":[132],"improved.":[133],"We":[134],"further":[135],"validate":[136],"approach":[138],"making":[140],"comparisons":[141],"previous":[143],"studies.":[144]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
