{"id":"https://openalex.org/W4401822020","doi":"https://doi.org/10.3233/shti240560","title":"Experimentation of AI Models Towards the Prediction of Medium-Risk Emergency Department Cases Disposition Outcome","display_name":"Experimentation of AI Models Towards the Prediction of Medium-Risk Emergency Department Cases Disposition Outcome","publication_year":2024,"publication_date":"2024-08-22","ids":{"openalex":"https://openalex.org/W4401822020","doi":"https://doi.org/10.3233/shti240560","pmid":"https://pubmed.ncbi.nlm.nih.gov/39176941"},"language":"en","primary_location":{"id":"doi:10.3233/shti240560","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti240560","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI240560","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI240560","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106680850","display_name":"Styliana Siakopoulou","orcid":"https://orcid.org/0009-0002-8528-8017"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Styliana Siakopoulou","raw_affiliation_strings":["Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Greece"],"raw_orcid":"https://orcid.org/0009-0002-8528-8017","affiliations":[{"raw_affiliation_string":"Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065383087","display_name":"Antonis Billis","orcid":"https://orcid.org/0000-0002-1854-7560"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Antonis Billis","raw_affiliation_strings":["Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041636394","display_name":"Evangelos Logaras","orcid":"https://orcid.org/0000-0003-4921-3819"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Evangelos Logaras","raw_affiliation_strings":["Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106680851","display_name":"Veroniki Stelmach","orcid":null},"institutions":[{"id":"https://openalex.org/I2800980381","display_name":"AHEPA University Hospital","ror":"https://ror.org/01q1jaw52","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I2800980381"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Veroniki Stelmach","raw_affiliation_strings":["AHEPA General University Hospital of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AHEPA General University Hospital of Thessaloniki, Greece","institution_ids":["https://openalex.org/I2800980381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113880806","display_name":"Maria Zouka","orcid":null},"institutions":[{"id":"https://openalex.org/I2800980381","display_name":"AHEPA University Hospital","ror":"https://ror.org/01q1jaw52","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I2800980381"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Maria Zouka","raw_affiliation_strings":["AHEPA General University Hospital of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AHEPA General University Hospital of Thessaloniki, Greece","institution_ids":["https://openalex.org/I2800980381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113657562","display_name":"Varvara Fyntanidou","orcid":null},"institutions":[{"id":"https://openalex.org/I2800980381","display_name":"AHEPA University Hospital","ror":"https://ror.org/01q1jaw52","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I2800980381"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Varvara Fyntanidou","raw_affiliation_strings":["AHEPA General University Hospital of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AHEPA General University Hospital of Thessaloniki, Greece","institution_ids":["https://openalex.org/I2800980381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058926112","display_name":"Panagiotis D. Bamidis","orcid":"https://orcid.org/0000-0002-9936-5805"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panagiotis Bamidis","raw_affiliation_strings":["Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065383087"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":3.5172,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.93474739,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"316","issue":null,"first_page":"914","last_page":"918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9962999820709229,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9962999820709229,"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/T11095","display_name":"Emergency and Acute Care Studies","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"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/T14400","display_name":"Medical Coding and Health Information","score":0.9901000261306763,"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/triage","display_name":"Triage","score":0.8903036713600159},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.8144568204879761},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7741467952728271},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.6428074240684509},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5495553612709045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5488893389701843},{"id":"https://openalex.org/keywords/emergency-department","display_name":"Emergency department","score":0.5354324579238892},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4551129937171936},{"id":"https://openalex.org/keywords/disposition","display_name":"Disposition","score":0.4515574872493744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39480146765708923},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.39228975772857666},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.37043535709381104},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.3621561527252197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35553014278411865},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14976388216018677},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.10238242149353027}],"concepts":[{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.8903036713600159},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.8144568204879761},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7741467952728271},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.6428074240684509},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5495553612709045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5488893389701843},{"id":"https://openalex.org/C2780724011","wikidata":"https://www.wikidata.org/wiki/Q1295316","display_name":"Emergency department","level":2,"score":0.5354324579238892},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4551129937171936},{"id":"https://openalex.org/C38022665","wikidata":"https://www.wikidata.org/wiki/Q1149305","display_name":"Disposition","level":2,"score":0.4515574872493744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39480146765708923},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.39228975772857666},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.37043535709381104},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.3621561527252197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35553014278411865},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14976388216018677},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.10238242149353027},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010351","descriptor_name":"Patient Discharge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010351","descriptor_name":"Patient Discharge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010351","descriptor_name":"Patient Discharge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010351","descriptor_name":"Patient Discharge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014218","descriptor_name":"Triage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014218","descriptor_name":"Triage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014218","descriptor_name":"Triage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014218","descriptor_name":"Triage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.3233/shti240560","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti240560","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI240560","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:39176941","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39176941","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":{"id":"doi:10.3233/shti240560","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti240560","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI240560","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5799999833106995,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401822020.pdf"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W2038379663","https://openalex.org/W2564451347","https://openalex.org/W2884597820","https://openalex.org/W2929110666","https://openalex.org/W2974150531","https://openalex.org/W3109682927","https://openalex.org/W3123775510","https://openalex.org/W4293103572","https://openalex.org/W4293113278"],"related_works":["https://openalex.org/W1975091423","https://openalex.org/W2144451503","https://openalex.org/W2033023095","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4321636153","https://openalex.org/W4313289487","https://openalex.org/W3191198889","https://openalex.org/W4399767560"],"abstract_inverted_index":{"The":[0],"overwhelming":[1],"volume":[2],"of":[3,17,38,62,94,146,165],"patients":[4,53,64],"in":[5,158],"emergency":[6],"departments":[7],"(EDs)":[8],"is":[9],"a":[10,42,49],"significant":[11],"problem":[12],"that":[13],"hinders":[14],"the":[15,36,57,68,88,92,104,137,163],"delivery":[16],"high":[18,121],"quality":[19],"healthcare.":[20],"Despite":[21,115],"their":[22,73,95],"great":[23],"value,":[24],"triage":[25,166],"protocols":[26],"are":[27,128],"challenging":[28],"to":[29],"put":[30],"into":[31],"practice.":[32],"This":[33],"paper":[34],"examines":[35],"utility":[37],"prediction":[39,89,105],"models":[40,156],"as":[41,54,130],"tool":[43],"for":[44,103,132],"clinical":[45],"decision":[46],"support,":[47],"with":[48,87],"focus":[50],"on":[51],"medium-severity":[52],"defined":[55],"by":[56],"ESI":[58],"algorithm.":[59],"689":[60],"cases":[61],"medium-risk":[63],"were":[65,107,151],"gathered":[66],"from":[67],"AHEPA":[69],"hospital,":[70],"evaluated,":[71],"and":[72,83,112,126],"data":[74],"fed":[75,136],"three":[76],"classifiers:":[77],"XGBoost":[78],"(XGB),":[79],"Random":[80],"Forest":[81],"(RF)":[82],"Logistic":[84],"Regression":[85],"(LR),":[86],"goal":[90],"being":[91],"outcome":[93,133],"visit,":[96],"i.e.":[97],"admission":[98],"or":[99,120],"discharge.":[100],"Essential":[101],"features":[102],"task":[106],"determined":[108],"using":[109],"feature":[110],"importance":[111],"distribution":[113],"analysis.":[114],"having":[116],"many":[117],"missing":[118],"values":[119],"sparsity":[122],"datasets,":[123],"several":[124],"symptoms":[125],"metrics":[127],"recommended":[129],"crucial":[131],"prediction.":[134],"When":[135],"patients'":[138],"vital":[139],"signs,":[140],"XGB":[141],"achieved":[142],"an":[143],"accuracy":[144],"score":[145],"91.30%.":[147],"Several":[148],"chief":[149],"complaints":[150],"also":[152,169],"proven":[153],"beneficial.":[154],"Prediction":[155],"can,":[157],"general,":[159],"not":[160],"only":[161],"lessen":[162],"drawbacks":[164],"implementation,":[167],"but":[168],"enhance":[170],"its":[171],"delivery.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-12T07:12:00.856984","created_date":"2025-10-10T00:00:00"}