{"id":"https://openalex.org/W4387865839","doi":"https://doi.org/10.3233/shti230747","title":"Identifying Preventable Emergency Admissions in Hospitals Using Machine Learning","display_name":"Identifying Preventable Emergency Admissions in Hospitals Using Machine Learning","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4387865839","doi":"https://doi.org/10.3233/shti230747","pmid":"https://pubmed.ncbi.nlm.nih.gov/37869814"},"language":"en","primary_location":{"id":"doi:10.3233/shti230747","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti230747","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230747","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":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230747","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061379689","display_name":"Sarah A. Alkhodair","orcid":"https://orcid.org/0000-0001-8428-3092"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Sarah A. Alkhodair","raw_affiliation_strings":["IT Department, CCIS, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-8428-3092","affiliations":[{"raw_affiliation_string":"IT Department, CCIS, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093110057","display_name":"Norah Altwaijri","orcid":"https://orcid.org/0000-0002-0119-5933"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Norah Altwaijri","raw_affiliation_strings":["IT Department, CCIS, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-0119-5933","affiliations":[{"raw_affiliation_string":"IT Department, CCIS, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006248146","display_name":"Ahmed I. Albarrak","orcid":"https://orcid.org/0000-0003-3246-454X"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ahmed I. Albarrak","raw_affiliation_strings":["Medical Informatics and E-Learning Unit, Medical Education Department, RCHIP, College of Medicine, King Saud University, Riyadh, Saudi Arabia","College of Medicine, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-3246-454X","affiliations":[{"raw_affiliation_string":"Medical Informatics and E-Learning Unit, Medical Education Department, RCHIP, College of Medicine, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"College of Medicine, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061379689"],"corresponding_institution_ids":["https://openalex.org/I28022161"],"apc_list":null,"apc_paid":null,"fwci":4.971,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.95071011,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"309","issue":null,"first_page":"95","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11095","display_name":"Emergency and Acute Care Studies","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9868000149726868,"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/T12246","display_name":"Chronic Disease Management Strategies","score":0.9573000073432922,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overcrowding","display_name":"Overcrowding","score":0.9406813979148865},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5709535479545593},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.5381549000740051},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5339872241020203},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.5167945623397827},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4766008257865906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44550997018814087},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.42891770601272583},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.42803049087524414},{"id":"https://openalex.org/keywords/emergency-department","display_name":"Emergency department","score":0.4123212397098541},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34618180990219116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3295387923717499},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.08169299364089966}],"concepts":[{"id":"https://openalex.org/C2778872837","wikidata":"https://www.wikidata.org/wiki/Q7113614","display_name":"Overcrowding","level":2,"score":0.9406813979148865},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5709535479545593},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.5381549000740051},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5339872241020203},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.5167945623397827},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4766008257865906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44550997018814087},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.42891770601272583},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.42803049087524414},{"id":"https://openalex.org/C2780724011","wikidata":"https://www.wikidata.org/wiki/Q1295316","display_name":"Emergency department","level":2,"score":0.4123212397098541},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34618180990219116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3295387923717499},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.08169299364089966},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006761","descriptor_name":"Hospitals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006761","descriptor_name":"Hospitals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006761","descriptor_name":"Hospitals","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}],"locations_count":2,"locations":[{"id":"doi:10.3233/shti230747","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti230747","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230747","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:37869814","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37869814","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/shti230747","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti230747","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230747","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":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387865839.pdf","grobid_xml":"https://content.openalex.org/works/W4387865839.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W1991181258","https://openalex.org/W3009604753","https://openalex.org/W3119786029","https://openalex.org/W3126435654","https://openalex.org/W3143340484","https://openalex.org/W4307330180"],"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],"EDs":[2,21],"has":[3],"been":[4],"viewed":[5],"globally":[6],"as":[7],"a":[8,32],"chronic":[9],"health":[10],"challenge.":[11],"It":[12],"is":[13],"directly":[14],"related":[15],"to":[16,26,47,52],"the":[17,79],"increased":[18,27],"use":[19],"of":[20,39],"for":[22],"non-urgent":[23],"issues,":[24],"leading":[25],"complications,":[28],"long":[29],"waiting":[30],"times,":[31],"higher":[33],"death":[34],"rate,":[35],"or":[36],"delayed":[37],"intervention":[38],"those":[40],"more":[41],"acutely":[42],"ill.":[43],"This":[44],"study":[45],"aims":[46],"develop":[48],"Machine":[49],"Learning":[50],"models":[51,69],"differentiate":[53],"immediate":[54],"medical":[55],"needs":[56],"from":[57],"unnecessary":[58],"ED":[59],"visits.":[60],"A":[61],"Decision":[62],"Tree,":[63],"Random":[64],"Forest,":[65],"AdaBoost,":[66],"and":[67,72,82],"XGBoost":[68,77],"were":[70],"built":[71],"evaluated":[73],"on":[74],"real-life":[75],"data.":[76],"achieved":[78],"best":[80],"accuracy":[81],"F1-score.":[83]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}