{"id":"https://openalex.org/W4387457874","doi":"https://doi.org/10.1186/s12911-023-02290-5","title":"On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry","display_name":"On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4387457874","doi":"https://doi.org/10.1186/s12911-023-02290-5","pmid":"https://pubmed.ncbi.nlm.nih.gov/37814288"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-023-02290-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-023-02290-5","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02290-5","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02290-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091998191","display_name":"Anna Bakidou","orcid":"https://orcid.org/0000-0002-4288-8146"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Anna Bakidou","raw_affiliation_strings":["Center for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Bor\u00e5s, 501 90, Bor\u00e5s, Sweden. bakidou@chalmers.se","Department of Electrical Engineering, Chalmers University of Technology, 412 96, Gothenburg, Sweden. bakidou@chalmers.se","Department of Electrical Engineering, Chalmers University of Technology, 412 96, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Bor\u00e5s, 501 90, Bor\u00e5s, Sweden. bakidou@chalmers.se","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, 412 96, Gothenburg, Sweden. bakidou@chalmers.se","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, 412 96, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083926817","display_name":"Eva-Corina Caragounis","orcid":"https://orcid.org/0000-0001-5637-2637"},"institutions":[{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]},{"id":"https://openalex.org/I2801112325","display_name":"Sahlgrenska University Hospital","ror":"https://ror.org/04vgqjj36","country_code":"SE","type":"funder","lineage":["https://openalex.org/I2801112325"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Eva-Corina Caragounis","raw_affiliation_strings":["Department of Surgery, Institute of Clinical Sciences, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, Per Dubbsgatan 15, 413 45, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Surgery, Institute of Clinical Sciences, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, Per Dubbsgatan 15, 413 45, Gothenburg, Sweden","institution_ids":["https://openalex.org/I2801112325","https://openalex.org/I881427289"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017161108","display_name":"Magnus Andersson Hagiwara","orcid":"https://orcid.org/0000-0002-6888-9323"},"institutions":[{"id":"https://openalex.org/I992397","display_name":"University of Bor\u00e5s","ror":"https://ror.org/01fdxwh83","country_code":"SE","type":"education","lineage":["https://openalex.org/I992397"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Magnus Andersson Hagiwara","raw_affiliation_strings":["Center for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Bor\u00e5s, 501 90, Bor\u00e5s, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Bor\u00e5s, 501 90, Bor\u00e5s, Sweden","institution_ids":["https://openalex.org/I992397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001117238","display_name":"Anders J\u00f6nsson","orcid":"https://orcid.org/0000-0001-7928-7021"},"institutions":[{"id":"https://openalex.org/I992397","display_name":"University of Bor\u00e5s","ror":"https://ror.org/01fdxwh83","country_code":"SE","type":"education","lineage":["https://openalex.org/I992397"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Anders Jonsson","raw_affiliation_strings":["Center for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Bor\u00e5s, 501 90, Bor\u00e5s, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Bor\u00e5s, 501 90, Bor\u00e5s, Sweden","institution_ids":["https://openalex.org/I992397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049645590","display_name":"Bengt Arne Sj\u00f6qvist","orcid":"https://orcid.org/0000-0002-6564-737X"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Bengt Arne Sj\u00f6qvist","raw_affiliation_strings":["Department of Electrical Engineering, Chalmers University of Technology, 412 96, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, 412 96, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038602979","display_name":"Stefan Candefjord","orcid":"https://orcid.org/0000-0001-7942-2190"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Stefan Candefjord","raw_affiliation_strings":["Department of Electrical Engineering, Chalmers University of Technology, 412 96, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, 412 96, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5091998191"],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":2.2039,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8755288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"23","issue":"1","first_page":"206","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11467","display_name":"Trauma and Emergency Care Studies","score":0.9925000071525574,"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/T11467","display_name":"Trauma and Emergency Care Studies","score":0.9925000071525574,"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/T11116","display_name":"Trauma, Hemostasis, Coagulopathy, Resuscitation","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care 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/T11824","display_name":"Injury Epidemiology and Prevention","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/triage","display_name":"Triage","score":0.8131420612335205},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6877979040145874},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6814891695976257},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6023327708244324},{"id":"https://openalex.org/keywords/injury-severity-score","display_name":"Injury Severity Score","score":0.5664900541305542},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5461912155151367},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.4584718346595764},{"id":"https://openalex.org/keywords/major-trauma","display_name":"Major trauma","score":0.43599650263786316},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.4324268698692322},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4081691801548004},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.3946531414985657},{"id":"https://openalex.org/keywords/injury-prevention","display_name":"Injury prevention","score":0.3861321210861206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3687923550605774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2591886520385742},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.13759073615074158}],"concepts":[{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.8131420612335205},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6877979040145874},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6814891695976257},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6023327708244324},{"id":"https://openalex.org/C85004164","wikidata":"https://www.wikidata.org/wiki/Q1089964","display_name":"Injury Severity Score","level":4,"score":0.5664900541305542},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5461912155151367},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.4584718346595764},{"id":"https://openalex.org/C2777914111","wikidata":"https://www.wikidata.org/wiki/Q1064904","display_name":"Major trauma","level":2,"score":0.43599650263786316},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.4324268698692322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4081691801548004},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.3946531414985657},{"id":"https://openalex.org/C190385971","wikidata":"https://www.wikidata.org/wiki/Q373494","display_name":"Injury prevention","level":3,"score":0.3861321210861206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3687923550605774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2591886520385742},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.13759073615074158}],"mesh":[{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","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":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","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":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013548","descriptor_name":"Sweden","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D013548","descriptor_name":"Sweden","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D013548","descriptor_name":"Sweden","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D014218","descriptor_name":"Triage","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014218","descriptor_name":"Triage","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014218","descriptor_name":"Triage","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014947","descriptor_name":"Wounds and Injuries","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D014947","descriptor_name":"Wounds and Injuries","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D014947","descriptor_name":"Wounds and Injuries","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D015601","descriptor_name":"Injury Severity Score","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015601","descriptor_name":"Injury Severity Score","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015601","descriptor_name":"Injury Severity Score","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1186/s12911-023-02290-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-023-02290-5","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02290-5","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:37814288","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37814288","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":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:DiVA.org:hb-30608","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-30608","pdf_url":"https://hb.diva-portal.org/smash/get/diva2:1804319/FULLTEXT01","source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute 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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:10561449","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10561449","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10561449/pdf/12911_2023_Article_2290.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:research.chalmers.se:537940","is_oa":true,"landing_page_url":"https://research.chalmers.se/en/publication/537940","pdf_url":"https://research.chalmers.se/publication/537940/file/537940_Fulltext.pdf","source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:doaj.org/article:35c99d324749477086609c307cb51a4b","is_oa":true,"landing_page_url":"https://doaj.org/article/35c99d324749477086609c307cb51a4b","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":"BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-19 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12911-023-02290-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-023-02290-5","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02290-5","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.800000011920929,"display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321523","display_name":"Chalmers Tekniska H\u00f6gskola","ror":"https://ror.org/040wg7k59"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387457874.pdf"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W68844147","https://openalex.org/W382084900","https://openalex.org/W1519206164","https://openalex.org/W1879852498","https://openalex.org/W1948735417","https://openalex.org/W1966716734","https://openalex.org/W1991669793","https://openalex.org/W2006962513","https://openalex.org/W2009336427","https://openalex.org/W2009962304","https://openalex.org/W2010369956","https://openalex.org/W2022961959","https://openalex.org/W2032915405","https://openalex.org/W2043448085","https://openalex.org/W2056208640","https://openalex.org/W2068039646","https://openalex.org/W2076148671","https://openalex.org/W2082399947","https://openalex.org/W2083066201","https://openalex.org/W2084417698","https://openalex.org/W2092126505","https://openalex.org/W2115098571","https://openalex.org/W2118978333","https://openalex.org/W2166932836","https://openalex.org/W2207305325","https://openalex.org/W2218367559","https://openalex.org/W2295598076","https://openalex.org/W2296891002","https://openalex.org/W2315122661","https://openalex.org/W2398731012","https://openalex.org/W2418968714","https://openalex.org/W2481882054","https://openalex.org/W2562319768","https://openalex.org/W2772803673","https://openalex.org/W2794756688","https://openalex.org/W2887203368","https://openalex.org/W2897268237","https://openalex.org/W2905992675","https://openalex.org/W2914258989","https://openalex.org/W2926610776","https://openalex.org/W2929110666","https://openalex.org/W2944313536","https://openalex.org/W2948682681","https://openalex.org/W2971644666","https://openalex.org/W2981937324","https://openalex.org/W3044759609","https://openalex.org/W3080491587","https://openalex.org/W3089273304","https://openalex.org/W3126130601","https://openalex.org/W3129175012","https://openalex.org/W3130284508","https://openalex.org/W3139528823","https://openalex.org/W3159664815","https://openalex.org/W3173496715","https://openalex.org/W3182690825","https://openalex.org/W3186086337","https://openalex.org/W3210767309","https://openalex.org/W4200139321","https://openalex.org/W4213248739","https://openalex.org/W4214608282","https://openalex.org/W4230953679","https://openalex.org/W4243145917","https://openalex.org/W4246103176","https://openalex.org/W4293108385","https://openalex.org/W6672247373","https://openalex.org/W6793615914","https://openalex.org/W7027776183"],"related_works":["https://openalex.org/W2993298575","https://openalex.org/W2750644977","https://openalex.org/W2891625076","https://openalex.org/W3040109867","https://openalex.org/W2965075564","https://openalex.org/W2021859073","https://openalex.org/W4367677753","https://openalex.org/W2073830419","https://openalex.org/W4248393377","https://openalex.org/W2754986332"],"abstract_inverted_index":{"BACKGROUND:":[0],"Providing":[1],"optimal":[2],"care":[3,241],"for":[4,11,41,48,195,227,248],"trauma,":[5],"the":[6,79,125,138,179],"leading":[7],"cause":[8],"of":[9,55,124,184,219],"death":[10],"young":[12],"adults,":[13],"remains":[14],"a":[15,25,110,249],"challenge":[16],"e.g.,":[17],"due":[18],"to":[19,60,89,214,230,237],"field":[20,232],"triage":[21,233],"limitations":[22],"in":[23,78,109],"assessing":[24],"patient's":[26],"condition":[27],"and":[28,91,104,116,130,144,148,150,160,188,198,203,242,246],"deciding":[29],"on":[30,172],"transport":[31],"destination.":[32],"Data-driven":[33],"On":[34],"Scene":[35],"Injury":[36,127],"Severity":[37,128],"Prediction":[38],"(OSISP)":[39],"models":[40,94,120,211],"motor":[42],"vehicle":[43],"crashes":[44],"have":[45,212],"shown":[46],"potential":[47,194,213,236],"providing":[49],"real-time":[50],"decision":[51,69],"support.":[52],"The":[53,83,119,222],"objective":[54],"this":[56],"study":[57],"is":[58],"therefore":[59],"evaluate":[61],"if":[62],"an":[63],"Artificial":[64,105],"Intelligence":[65],"(AI)":[66],"based":[67,171,209],"clinical":[68,180],"support":[70,216],"system":[71],"can":[72],"identify":[73],"severely":[74],"injured":[75],"trauma":[76,240],"patients":[77,185],"prehospital":[80,239],"setting.":[81],"METHODS:":[82],"Swedish":[84],"Trauma":[85],"Registry":[86],"was":[87],"used":[88,226],"train":[90],"validate":[92],"five":[93],"-":[95,108],"Logistic":[96],"Regression,":[97],"Random":[98],"Forest,":[99],"XGBoost,":[100],"Support":[101],"Vector":[102],"Machine":[103],"Neural":[106],"Network":[107],"stratified":[111],"10-fold":[112],"cross":[113],"validation":[114],"setting":[115],"hold-out":[117],"analysis.":[118],"performed":[121],"binary":[122],"classification":[123],"New":[126],"Score":[129],"were":[131,155,167,170,186,190],"evaluated":[132],"using":[133],"accuracy":[134],"metrics,":[135],"area":[136],"under":[137],"receiver":[139],"operating":[140],"characteristic":[141],"curve":[142,146],"(AUC)":[143],"Precision-Recall":[145],"(AUCPR),":[147],"under-":[149],"overtriage":[151],"rates.":[152],"RESULTS:":[153],"There":[154],"75,602":[156],"registrations":[157],"between":[158,201,205],"2013-2020":[159],"47,357":[161],"(62.6%)":[162],"remained":[163],"after":[164],"eligibility":[165],"criteria":[166],"applied.":[168],"Models":[169,192],"21":[173],"predictors,":[174],"including":[175],"injury":[176,220],"location.":[177],"From":[178],"outcome,":[181],"about":[182],"40%":[183],"undertriaged":[187],"46%":[189],"overtriaged.":[191],"demonstrated":[193],"improved":[196],"triaging":[197],"yielded":[199],"AUC":[200],"0.80-0.89":[202],"AUCPR":[204],"0.43-0.62.":[206],"CONCLUSIONS:":[207],"AI":[208],"OSISP":[210],"provide":[215],"during":[217],"assessment":[218],"severity.":[221],"findings":[223],"may":[224],"be":[225],"developing":[228],"tools":[229],"complement":[231],"protocols,":[234],"with":[235],"improve":[238],"thereby":[243],"reduce":[244],"morbidity":[245],"mortality":[247],"large":[250],"patient":[251],"population.":[252]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
