{"id":"https://openalex.org/W4411531399","doi":"https://doi.org/10.1177/18724981251340355","title":"Validating emergency department admission predictions based on local data through MIMIC-IV","display_name":"Validating emergency department admission predictions based on local data through MIMIC-IV","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4411531399","doi":"https://doi.org/10.1177/18724981251340355"},"language":"en","primary_location":{"id":"doi:10.1177/18724981251340355","is_oa":false,"landing_page_url":"https://doi.org/10.1177/18724981251340355","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-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/A5118589845","display_name":"Francesca Meimeti","orcid":null},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Francesca Meimeti","raw_affiliation_strings":["School of Science and Technology, Hellenic Open University, Patras, Greece"],"raw_orcid":"https://orcid.org/0009-0006-0557-9930","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hellenic Open University, Patras, Greece","institution_ids":["https://openalex.org/I231025917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005558878","display_name":"Loukas Triantafyllopoulos","orcid":"https://orcid.org/0000-0002-7687-5642"},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Loukas Triantafyllopoulos","raw_affiliation_strings":["School of Science and Technology, Hellenic Open University, Patras, Greece"],"raw_orcid":"https://orcid.org/0000-0002-7687-5642","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hellenic Open University, Patras, Greece","institution_ids":["https://openalex.org/I231025917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086837749","display_name":"Aikaterini Sakagianni","orcid":"https://orcid.org/0000-0002-3199-9158"},"institutions":[{"id":"https://openalex.org/I2800888565","display_name":"Sismanoglio General Hospital","ror":"https://ror.org/057cm0m66","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I2800888565"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aikaterini Sakagianni","raw_affiliation_strings":["Intensive Care Unit, Sismanogleio General Hospital, Marousi, Greece"],"raw_orcid":"https://orcid.org/0000-0002-3199-9158","affiliations":[{"raw_affiliation_string":"Intensive Care Unit, Sismanogleio General Hospital, Marousi, Greece","institution_ids":["https://openalex.org/I2800888565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045237177","display_name":"Vasileios Kaldis","orcid":"https://orcid.org/0000-0001-6416-2293"},"institutions":[{"id":"https://openalex.org/I2800888565","display_name":"Sismanoglio General Hospital","ror":"https://ror.org/057cm0m66","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I2800888565"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vasileios Kaldis","raw_affiliation_strings":["Emergency Department, Sismanogleio General Hospital, Marousi, Greece"],"raw_orcid":"https://orcid.org/0000-0001-6416-2293","affiliations":[{"raw_affiliation_string":"Emergency Department, Sismanogleio General Hospital, Marousi, Greece","institution_ids":["https://openalex.org/I2800888565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038826691","display_name":"Lazaros Tzelves","orcid":"https://orcid.org/0000-0003-4619-9783"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]},{"id":"https://openalex.org/I2800888565","display_name":"Sismanoglio General Hospital","ror":"https://ror.org/057cm0m66","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I2800888565"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Lazaros Tzelves","raw_affiliation_strings":["2nd Department of Urology, Sismanoglio General Hospital, Sismanogliou, National and Kapodistrian University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2nd Department of Urology, Sismanoglio General Hospital, Sismanogliou, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I2800888565","https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043533599","display_name":"Nikolaos Theodorakis","orcid":"https://orcid.org/0000-0003-0420-7327"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]},{"id":"https://openalex.org/I4210132086","display_name":"Simanogleio-Amalia Fleming General Hospital","ror":"https://ror.org/03tkfgy13","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I4210132086"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Theodorakis","raw_affiliation_strings":["Department of Cardiology & 65+ Clinic, Amalia Fleming General Hospital, Melissia, Greece","School of Medicine, National and Kapodistrian University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology & 65+ Clinic, Amalia Fleming General Hospital, Melissia, Greece","institution_ids":["https://openalex.org/I4210132086"]},{"raw_affiliation_string":"School of Medicine, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036319147","display_name":"Evgenia Paxinou","orcid":"https://orcid.org/0000-0002-9910-8569"},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Evgenia Paxinou","raw_affiliation_strings":["School of Science and Technology, Hellenic Open University, Patras, Greece"],"raw_orcid":"https://orcid.org/0000-0002-9910-8569","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hellenic Open University, Patras, Greece","institution_ids":["https://openalex.org/I231025917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003484641","display_name":"Georgios Feretzakis","orcid":"https://orcid.org/0000-0002-3597-1187"},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Feretzakis","raw_affiliation_strings":["School of Science and Technology, Hellenic Open University, Patras, Greece"],"raw_orcid":"https://orcid.org/0000-0002-3597-1187","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hellenic Open University, Patras, Greece","institution_ids":["https://openalex.org/I231025917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068179203","display_name":"Dimitris Kalles","orcid":"https://orcid.org/0000-0003-0364-5966"},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitris Kalles","raw_affiliation_strings":["School of Science and Technology, Hellenic Open University, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hellenic Open University, Patras, Greece","institution_ids":["https://openalex.org/I231025917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085113815","display_name":"Vassilios S. Verykios","orcid":"https://orcid.org/0000-0002-9758-0819"},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Vassilios S. Verykios","raw_affiliation_strings":["School of Science and Technology, Hellenic Open University, Patras, Greece"],"raw_orcid":"https://orcid.org/0000-0002-9758-0819","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hellenic Open University, Patras, Greece","institution_ids":["https://openalex.org/I231025917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5005558878","https://openalex.org/A5085113815"],"corresponding_institution_ids":["https://openalex.org/I231025917"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22062694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"4","first_page":"1955","last_page":"1973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11095","display_name":"Emergency and Acute Care Studies","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11095","display_name":"Emergency and Acute Care Studies","score":0.9988999962806702,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9922000169754028,"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/T14374","display_name":"Statistical Methods in Epidemiology","score":0.9563999772071838,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overcrowding","display_name":"Overcrowding","score":0.7692466974258423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6589691638946533},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6448825597763062},{"id":"https://openalex.org/keywords/emergency-department","display_name":"Emergency department","score":0.6107509732246399},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5556787252426147},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.538578450679779},{"id":"https://openalex.org/keywords/triage","display_name":"Triage","score":0.5114278197288513},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.495442271232605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4811367094516754},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4733686149120331},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4605405032634735},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4234040081501007},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18737784028053284},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.1849173903465271}],"concepts":[{"id":"https://openalex.org/C2778872837","wikidata":"https://www.wikidata.org/wiki/Q7113614","display_name":"Overcrowding","level":2,"score":0.7692466974258423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6589691638946533},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6448825597763062},{"id":"https://openalex.org/C2780724011","wikidata":"https://www.wikidata.org/wiki/Q1295316","display_name":"Emergency department","level":2,"score":0.6107509732246399},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5556787252426147},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.538578450679779},{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.5114278197288513},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.495442271232605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4811367094516754},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4733686149120331},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4605405032634735},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4234040081501007},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18737784028053284},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.1849173903465271},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/18724981251340355","is_oa":false,"landing_page_url":"https://doi.org/10.1177/18724981251340355","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W1664358972","https://openalex.org/W2102962027","https://openalex.org/W2125852843","https://openalex.org/W2319794630","https://openalex.org/W2568818165","https://openalex.org/W2772803673","https://openalex.org/W2788608859","https://openalex.org/W2898892062","https://openalex.org/W2903093159","https://openalex.org/W2903520690","https://openalex.org/W2966671057","https://openalex.org/W2985990714","https://openalex.org/W2989966227","https://openalex.org/W3024621094","https://openalex.org/W3044168278","https://openalex.org/W3119224260","https://openalex.org/W3126732036","https://openalex.org/W3154481402","https://openalex.org/W3160103039","https://openalex.org/W3160401648","https://openalex.org/W3162199380","https://openalex.org/W3174654227","https://openalex.org/W3195986168","https://openalex.org/W3203652557","https://openalex.org/W4200536500","https://openalex.org/W4220902072","https://openalex.org/W4223908164","https://openalex.org/W4226053419","https://openalex.org/W4281260886","https://openalex.org/W4283721048","https://openalex.org/W4285492904","https://openalex.org/W4285684030","https://openalex.org/W4288068807","https://openalex.org/W4296612842","https://openalex.org/W4307273749","https://openalex.org/W4307405815","https://openalex.org/W4312512835","https://openalex.org/W4313439128","https://openalex.org/W4315782733","https://openalex.org/W4317706481","https://openalex.org/W4317780575","https://openalex.org/W4318483728","https://openalex.org/W4319299139","https://openalex.org/W4321054264","https://openalex.org/W4378420558","https://openalex.org/W4382196507","https://openalex.org/W4386295480","https://openalex.org/W4387258651","https://openalex.org/W4388563515","https://openalex.org/W4388865013","https://openalex.org/W4389263627","https://openalex.org/W4389777574","https://openalex.org/W4390671795","https://openalex.org/W4390954011","https://openalex.org/W4391228298","https://openalex.org/W4392788576","https://openalex.org/W4394029419","https://openalex.org/W4394910217","https://openalex.org/W4396573312","https://openalex.org/W4396633285","https://openalex.org/W4396653159","https://openalex.org/W4396720099","https://openalex.org/W4397028044","https://openalex.org/W4398183427","https://openalex.org/W4399341939","https://openalex.org/W4399570248","https://openalex.org/W4400525128","https://openalex.org/W4400976057","https://openalex.org/W4401047002","https://openalex.org/W4401117821","https://openalex.org/W4401438235","https://openalex.org/W4402076098","https://openalex.org/W4402981973","https://openalex.org/W4403689654","https://openalex.org/W4404934279","https://openalex.org/W4405077080","https://openalex.org/W4405613391","https://openalex.org/W4406089515","https://openalex.org/W6790553546","https://openalex.org/W6810673871","https://openalex.org/W6817820361","https://openalex.org/W7008740742"],"related_works":["https://openalex.org/W1515008438","https://openalex.org/W4321054264","https://openalex.org/W3154586736","https://openalex.org/W4382936642","https://openalex.org/W2031219210","https://openalex.org/W2141668586","https://openalex.org/W2336075604","https://openalex.org/W3132755233","https://openalex.org/W4253365012","https://openalex.org/W3168131898"],"abstract_inverted_index":{"The":[0],"effective":[1],"management":[2,137],"of":[3,87,90,94,107],"Emergency":[4],"Department":[5],"(ED)":[6],"overcrowding":[7],"is":[8],"essential":[9],"for":[10,113,122,134],"improving":[11],"patient":[12],"outcomes":[13],"and":[14,61,65,92,130],"optimizing":[15],"healthcare":[16],"resource":[17],"allocation.":[18],"This":[19],"study":[20],"validates":[21],"hospital":[22,36],"admission":[23,114],"prediction":[24],"models":[25,124],"initially":[26],"developed":[27],"using":[28],"a":[29,34,119],"small":[30],"local":[31,128],"dataset":[32],"from":[33],"Greek":[35],"by":[37],"leveraging":[38],"the":[39,45,81,99,105,140],"comprehensive":[40],"MIMIC-IV":[41,46,100,117],"dataset.":[42],"After":[43],"preprocessing":[44],"data,":[47],"five":[48],"algorithms\u2014Linear":[49],"Discriminant":[50],"Analysis":[51],"(LDA),":[52],"K-Nearest":[53],"Neighbors":[54],"(KNN),":[55],"Random":[56],"Forest":[57],"(RF),":[58],"Recursive":[59],"Partitioning":[60],"Regression":[62],"Trees":[63],"(RPART),":[64],"Support":[66],"Vector":[67],"Machines":[68],"(svmRadial)\u2014were":[69],"evaluated.":[70],"Among":[71],"these,":[72],"RF":[73,108],"demonstrated":[74],"superior":[75],"performance,":[76],"achieving":[77],"an":[78],"Area":[79],"Under":[80],"Receiver":[82],"Operating":[83],"Characteristic":[84],"Curve":[85],"(AUC-ROC)":[86],"0.9999,":[88],"sensitivity":[89],"0.9997,":[91],"specificity":[93],"0.9999":[95],"when":[96],"applied":[97],"to":[98],"data.":[101],"These":[102],"findings":[103],"underscore":[104],"robustness":[106],"in":[109,139],"handling":[110],"complex":[111],"datasets":[112,129],"prediction,":[115],"establishing":[116],"as":[118],"valuable":[120],"benchmark":[121],"validating":[123],"based":[125],"on":[126],"smaller":[127],"providing":[131],"actionable":[132],"insights":[133],"steering":[135],"ED":[136],"strategies":[138],"right":[141],"direction.":[142]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}