{"id":"https://openalex.org/W4414608836","doi":"https://doi.org/10.1186/s12911-025-03199-x","title":"Prediction of atrial fibrillation admissions in arrhythmia na\u00efve patients from structured electronic health record data","display_name":"Prediction of atrial fibrillation admissions in arrhythmia na\u00efve patients from structured electronic health record data","publication_year":2025,"publication_date":"2025-09-29","ids":{"openalex":"https://openalex.org/W4414608836","doi":"https://doi.org/10.1186/s12911-025-03199-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/41023656"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-025-03199-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03199-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03199-x","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/s12911-025-03199-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031474542","display_name":"Tanmay Gokhale","orcid":"https://orcid.org/0000-0002-9436-2058"},"institutions":[{"id":"https://openalex.org/I4210134769","display_name":"University of Pittsburgh Medical Center","ror":"https://ror.org/04ehecz88","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210098814","https://openalex.org/I4210134769"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tanmay Gokhale","raw_affiliation_strings":["Heart and Vascular Institute, University of Pittsburgh Medical Center, 200 Lothrop Street, South Tower, Pittsburgh, PA, E355.6, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heart and Vascular Institute, University of Pittsburgh Medical Center, 200 Lothrop Street, South Tower, Pittsburgh, PA, E355.6, USA","institution_ids":["https://openalex.org/I4210134769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044867896","display_name":"Nirav Bhatt","orcid":"https://orcid.org/0000-0001-9838-6180"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nirav R. Bhatt","raw_affiliation_strings":["Neurology Department, University of Pittsburgh, Pittsburgh, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neurology Department, University of Pittsburgh, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064919549","display_name":"Matthew R. Starr","orcid":"https://orcid.org/0000-0002-3021-5630"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Starr","raw_affiliation_strings":["Neurology Department, University of Pittsburgh, Pittsburgh, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neurology Department, University of Pittsburgh, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056378237","display_name":"Suresh Mulukutla","orcid":"https://orcid.org/0000-0001-5060-429X"},"institutions":[{"id":"https://openalex.org/I4210134769","display_name":"University of Pittsburgh Medical Center","ror":"https://ror.org/04ehecz88","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210098814","https://openalex.org/I4210134769"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suresh Mulukutla","raw_affiliation_strings":["Heart and Vascular Institute, University of Pittsburgh Medical Center, 200 Lothrop Street, South Tower, Pittsburgh, PA, E355.6, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heart and Vascular Institute, University of Pittsburgh Medical Center, 200 Lothrop Street, South Tower, Pittsburgh, PA, E355.6, USA","institution_ids":["https://openalex.org/I4210134769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036612212","display_name":"Floyd Thoma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134769","display_name":"University of Pittsburgh Medical Center","ror":"https://ror.org/04ehecz88","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210098814","https://openalex.org/I4210134769"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Floyd Thoma","raw_affiliation_strings":["Heart and Vascular Institute, University of Pittsburgh Medical Center, 200 Lothrop Street, South Tower, Pittsburgh, PA, E355.6, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heart and Vascular Institute, University of Pittsburgh Medical Center, 200 Lothrop Street, South Tower, Pittsburgh, PA, E355.6, USA","institution_ids":["https://openalex.org/I4210134769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111898982","display_name":"Murat Ak\u00e7akaya","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murat Akcakaya","raw_affiliation_strings":["Swanson School of Engineering at the University of Pittsburgh, Pittsburgh, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swanson School of Engineering at the University of Pittsburgh, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020870582","display_name":"Salah S. Al\u2010Zaiti","orcid":"https://orcid.org/0000-0002-6862-0658"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Salah Al-Zaiti","raw_affiliation_strings":["Nursing School at the University of Rochester, Rochester, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nursing School at the University of Rochester, Rochester, New York, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110537559","display_name":"Raul G. Nogueira","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raul G. Nogueira","raw_affiliation_strings":["Neurology Department, University of Pittsburgh, Pittsburgh, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neurology Department, University of Pittsburgh, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070082578","display_name":"Samir Saba","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134769","display_name":"University of Pittsburgh Medical Center","ror":"https://ror.org/04ehecz88","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210098814","https://openalex.org/I4210134769"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samir Saba","raw_affiliation_strings":["Heart and Vascular Institute, University of Pittsburgh Medical Center, 200 Lothrop Street, South Tower, Pittsburgh, PA, E355.6, USA. sabas@upmc.edu","Heart and Vascular Institute, University of Pittsburgh Medical Center, 200 Lothrop Street, South Tower, Pittsburgh, PA, E355.6, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heart and Vascular Institute, University of Pittsburgh Medical Center, 200 Lothrop Street, South Tower, Pittsburgh, PA, E355.6, USA. sabas@upmc.edu","institution_ids":["https://openalex.org/I4210134769"]},{"raw_affiliation_string":"Heart and Vascular Institute, University of Pittsburgh Medical Center, 200 Lothrop Street, South Tower, Pittsburgh, PA, E355.6, USA","institution_ids":["https://openalex.org/I4210134769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5031474542"],"corresponding_institution_ids":["https://openalex.org/I4210134769"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39044146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"1","first_page":"348","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.6294999718666077,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.6294999718666077,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T11021","display_name":"ECG Monitoring and Analysis","score":0.17589999735355377,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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":0.07329999655485153,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.7181000113487244},{"id":"https://openalex.org/keywords/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.6775000095367432},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.6531000137329102},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.5235000252723694},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.46209999918937683},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.3555999994277954},{"id":"https://openalex.org/keywords/patient-record","display_name":"Patient record","score":0.35420000553131104},{"id":"https://openalex.org/keywords/event-data","display_name":"Event data","score":0.3513999879360199}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.8065000176429749},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.7181000113487244},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.6775000095367432},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.6531000137329102},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.5235000252723694},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.4864000082015991},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.46209999918937683},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.4138000011444092},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.365200012922287},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.3571999967098236},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C2993731853","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient record","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C2987896495","wikidata":"https://www.wikidata.org/wiki/Q5416716","display_name":"Event data","level":3,"score":0.3513999879360199},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3199999928474426},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C3017977704","wikidata":"https://www.wikidata.org/wiki/Q18745135","display_name":"Health data","level":3,"score":0.31619998812675476},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C2988455589","wikidata":"https://www.wikidata.org/wiki/Q189331","display_name":"Cardiac arrhythmia","level":3,"score":0.30079999566078186},{"id":"https://openalex.org/C3018127138","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Cardiovascular event","level":3,"score":0.29580000042915344},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C191630685","wikidata":"https://www.wikidata.org/wiki/Q4027615","display_name":"Informatics","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C3018822202","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient data","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C3018060332","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic medical record","level":2,"score":0.25290000438690186}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12911-025-03199-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03199-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03199-x","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:41023656","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41023656","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:doaj.org/article:b3cdc11b6d3f4e0aae830e36fa28cc46","is_oa":true,"landing_page_url":"https://doaj.org/article/b3cdc11b6d3f4e0aae830e36fa28cc46","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 25, Iss 1, Pp 1-9 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11293144","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12482350","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:12482350","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12482350/","pdf_url":null,"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"}],"best_oa_location":{"id":"doi:10.1186/s12911-025-03199-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03199-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03199-x","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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4414608836.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1998250654","https://openalex.org/W2009637031","https://openalex.org/W2045596231","https://openalex.org/W2594485408","https://openalex.org/W2609696371","https://openalex.org/W2891629937","https://openalex.org/W2926385904","https://openalex.org/W2965520043","https://openalex.org/W3000776376","https://openalex.org/W3096529382","https://openalex.org/W3102927640","https://openalex.org/W4323033363","https://openalex.org/W4383872375","https://openalex.org/W4388039242","https://openalex.org/W4388209393","https://openalex.org/W4391447712","https://openalex.org/W4391617219"],"related_works":[],"abstract_inverted_index":{"BACKGROUND:":[0],"Atrial":[1],"fibrillation":[2],"(AF)":[3],"is":[4,13,224],"the":[5,21,39,75,107,111,133,136,166,171,199,213,222,228],"most":[6,214],"prevalent":[7],"sustained":[8],"arrhythmia,":[9],"but":[10,157,206],"its":[11],"diagnosis":[12],"often":[14],"elusive.":[15],"In":[16],"this":[17],"study,":[18],"we":[19],"examined":[20],"role":[22],"of":[23,38,53,66,69,84,126,150,163,195],"machine":[24],"learning":[25],"(ML)":[26],"algorithms":[27],"in":[28,31],"predicting":[29],"AF":[30,104,120,204],"arrhythmia-na\u00efve":[32],"patients,":[33],"based":[34],"on":[35],"structured":[36,196,207],"domains":[37,80,131,154,175,184,194,211],"electronic":[40],"health":[41],"records":[42],"(EHR).":[43],"METHODS:":[44],"Patients":[45],"(N":[46],"=":[47],"186,769)":[48],"with":[49,144,158],"no":[50],"prior":[51],"history":[52],"AF,":[54],"who":[55,62],"received":[56],"at":[57,165],"least":[58],"1":[59],"echocardiogram":[60,93],"and":[61,92,95,173,209],"had":[63],"a":[64,122,159],"minimum":[65],"3":[67],"months":[68],"follow-up,":[70],"were":[71,77,117,155,185,189],"included.":[72,186],"Data":[73],"from":[74],"EHR":[76,130,183,197],"grouped":[78],"into":[79],"(demographic;":[81],"social":[82],"determinants":[83],"health;":[85],"past":[86],"medical":[87],"history,":[88],"medications,":[89],"electrocardiogram":[90],"(EKG),":[91],"(Echo))":[94],"tested":[96],"incrementally":[97],"for":[98,119,140],"their":[99],"ability":[100,200],"to":[101,106,180,201,227],"predict":[102,202],"incident":[103,203],"admission":[105],"hospital.":[108],"RESULTS:":[109],"Of":[110],"overall":[112],"cohort,":[113],"4,751":[114],"(2.5%)":[115],"patients":[116],"admitted":[118],"over":[121],"median":[123],"follow-up":[124],"time":[125],"35":[127],"months.":[128],"Incremental":[129],"increased":[132],"area":[134],"under":[135],"receiver-operator":[137],"curve":[138],"(AUROC)":[139],"all":[141,153,182],"ML":[142,217],"classifiers,":[143],"Gradient":[145],"Boosting":[146],"achieving":[147],"an":[148],"AUROC":[149],"0.85":[151],"when":[152,181],"included,":[156],"poor":[160,225],"F1":[161],"score":[162],"14%":[164],"maximal":[167],"Youden":[168],"index.":[169],"Using":[170],"EKG":[172,208],"Echo":[174,210],"alone":[176],"achieved":[177],"comparable":[178],"performance":[179],"These":[187],"results":[188],"externally":[190],"validated.":[191],"CONCLUSION:":[192],"More":[193],"improve":[198],"admissions":[205],"realize":[212],"gain.":[215],"Although":[216],"models":[218],"exhibited":[219],"good":[220],"discrimination,":[221],"precision":[223],"due":[226],"low":[229],"event":[230],"rate.":[231]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}