{"id":"https://openalex.org/W4287738992","doi":"https://doi.org/10.1109/access.2022.3160742","title":"Analysis on Benefits and Costs of Machine Learning-Based Early Hospitalization Prediction","display_name":"Analysis on Benefits and Costs of Machine Learning-Based Early Hospitalization Prediction","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4287738992","doi":"https://doi.org/10.1109/access.2022.3160742"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3160742","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3160742","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09738639.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09738639.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069377146","display_name":"Eunbi Kim","orcid":"https://orcid.org/0000-0002-5907-830X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Eunbi Kim","raw_affiliation_strings":["School of Industrial and Management Engineering, Korea University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5907-830X","affiliations":[{"raw_affiliation_string":"School of Industrial and Management Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089777146","display_name":"Kap Su Han","orcid":"https://orcid.org/0000-0003-0205-1269"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kap Su Han","raw_affiliation_strings":["Department of Emergency Medicine, College of Medicine, Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, College of Medicine, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049936316","display_name":"Taesu Cheong","orcid":"https://orcid.org/0000-0002-8340-825X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taesu Cheong","raw_affiliation_strings":["School of Industrial and Management Engineering, Korea University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-8340-825X","affiliations":[{"raw_affiliation_string":"School of Industrial and Management Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101730546","display_name":"Sung Woo Lee","orcid":"https://orcid.org/0000-0003-4492-0258"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung Woo Lee","raw_affiliation_strings":["Department of Emergency Medicine, College of Medicine, Korea University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4492-0258","affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, College of Medicine, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069861418","display_name":"Joonyup Eun","orcid":"https://orcid.org/0000-0002-4970-8224"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joonyup Eun","raw_affiliation_strings":["Graduate School of Management of Technology, Korea University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4970-8224","affiliations":[{"raw_affiliation_string":"Graduate School of Management of Technology, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100401530","display_name":"Su Jin Kim","orcid":"https://orcid.org/0000-0003-3769-9647"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Su Jin Kim","raw_affiliation_strings":["Department of Emergency Medicine, College of Medicine, Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, College of Medicine, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069377146"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.3084,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87830173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"32479","last_page":"32493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11095","display_name":"Emergency and Acute Care Studies","score":0.9998000264167786,"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":0.9998000264167786,"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/T10391","display_name":"Healthcare Policy and Management","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11722","display_name":"Patient Satisfaction in Healthcare","score":0.960099995136261,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"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/overcrowding","display_name":"Overcrowding","score":0.9845374822616577},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.7247259020805359},{"id":"https://openalex.org/keywords/emergency-department","display_name":"Emergency department","score":0.7068196535110474},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6149353981018066},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5368204116821289},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4964140057563782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48535266518592834},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4773571491241455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44759657979011536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4075351059436798},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.40256595611572266}],"concepts":[{"id":"https://openalex.org/C2778872837","wikidata":"https://www.wikidata.org/wiki/Q7113614","display_name":"Overcrowding","level":2,"score":0.9845374822616577},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7247259020805359},{"id":"https://openalex.org/C2780724011","wikidata":"https://www.wikidata.org/wiki/Q1295316","display_name":"Emergency department","level":2,"score":0.7068196535110474},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6149353981018066},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5368204116821289},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4964140057563782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48535266518592834},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4773571491241455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44759657979011536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4075351059436798},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.40256595611572266},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3160742","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3160742","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09738639.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e3d6b46d4c004e73b06eb0c9e9d5ea31","is_oa":true,"landing_page_url":"https://doaj.org/article/e3d6b46d4c004e73b06eb0c9e9d5ea31","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 32479-32493 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3160742","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3160742","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09738639.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G124680302","display_name":null,"funder_award_id":"2020R1F1A1075832","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7382834786","display_name":null,"funder_award_id":"2020R1F1A1075832","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G7656815729","display_name":null,"funder_award_id":"K1912671","funder_id":"https://openalex.org/F4320329191","funder_display_name":"Korea University Anam Hospital"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321373","display_name":"Korea University","ror":"https://ror.org/047dqcg40"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320329191","display_name":"Korea University Anam Hospital","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4287738992.pdf","grobid_xml":"https://content.openalex.org/works/W4287738992.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1723129825","https://openalex.org/W1823994478","https://openalex.org/W2012070465","https://openalex.org/W2029598996","https://openalex.org/W2043244001","https://openalex.org/W2060647977","https://openalex.org/W2082874195","https://openalex.org/W2094217338","https://openalex.org/W2135005078","https://openalex.org/W2143649626","https://openalex.org/W2146767951","https://openalex.org/W2268875920","https://openalex.org/W2295598076","https://openalex.org/W2524983454","https://openalex.org/W2559485670","https://openalex.org/W2604972438","https://openalex.org/W2609161091","https://openalex.org/W2736244222","https://openalex.org/W2748232622","https://openalex.org/W2765449478","https://openalex.org/W2788608859","https://openalex.org/W2884597820","https://openalex.org/W2903093159","https://openalex.org/W2909953525","https://openalex.org/W3081578833","https://openalex.org/W3119036516","https://openalex.org/W3131410778","https://openalex.org/W3160401648","https://openalex.org/W3173369295","https://openalex.org/W3174324367","https://openalex.org/W3175965640","https://openalex.org/W3212456559","https://openalex.org/W6602766936","https://openalex.org/W6638115955","https://openalex.org/W6638560580","https://openalex.org/W6768958581"],"related_works":["https://openalex.org/W4321054264","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","https://openalex.org/W2092734722","https://openalex.org/W2087024057"],"abstract_inverted_index":{"Overcrowding":[0],"in":[1,26,46,53,127],"emergency":[2],"departments":[3],"(EDs)":[4],"has":[5,12],"long":[6],"been":[7],"a":[8,124,140,164],"problem":[9],"worldwide":[10],"and":[11,18,55,74,95,115,150],"serious":[13],"consequences":[14],"for":[15,34,163],"patient":[16,141],"satisfaction":[17],"safety.":[19],"Typically,":[20],"overcrowding":[21],"is":[22,42],"caused":[23],"by":[24,145,160],"delays":[25],"the":[27,38,56,76,102,107,118,121,134,151,155],"boarding":[28,57],"time":[29,58],"of":[30,40,110,123,137,139,158],"ED":[31,122,135,152],"patients":[32,41,73],"waiting":[33],"inpatient":[35,48],"beds.":[36],"If":[37],"hospitalization":[39,66,111],"predicted":[43],"early":[44],"enough":[45],"EDs,":[47],"beds":[49],"can":[50,59,142,153],"be":[51,60,143],"prepared":[52],"advance":[54],"reduced.":[61],"We":[62],"design":[63],"machine":[64],"learning-based":[65],"predictive":[67,80,103],"models":[68,81],"using":[69],"data":[70,119],"on":[71,101,113,148],"27,747":[72],"compare":[75],"experimental":[77],"results.":[78],"Five":[79],"are":[82],"designed:":[83],"1)":[84],"logistic":[85],"regression,":[86],"2)":[87],"XGBoost,":[88],"3)":[89],"NGBoost,":[90],"4)":[91],"support":[92],"vector":[93],"machine,":[94],"5)":[96],"decision":[97],"tree":[98],"models.":[99],"Based":[100],"results,":[104],"we":[105],"estimate":[106],"quantitative":[108],"effects":[109],"predictions":[112],"EDs":[114],"wards.":[116],"Using":[117],"from":[120],"general":[125],"hospital":[126],"South":[128],"Korea,":[129],"our":[130],"experiments":[131],"show":[132],"that":[133],"length":[136,157],"stay":[138,159],"reduced":[144],"12.3":[146],"minutes":[147,162],"average":[149],"reduce":[154],"total":[156],"340,147":[161],"year.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
