{"id":"https://openalex.org/W7127955588","doi":"https://doi.org/10.1186/s13040-026-00525-5","title":"Early differentiation between paroxysmal and persistent atrial fibrillation based on interpretable machine learning: a multicenter retrospective study","display_name":"Early differentiation between paroxysmal and persistent atrial fibrillation based on interpretable machine learning: a multicenter retrospective study","publication_year":2026,"publication_date":"2026-02-06","ids":{"openalex":"https://openalex.org/W7127955588","doi":"https://doi.org/10.1186/s13040-026-00525-5","pmid":"https://pubmed.ncbi.nlm.nih.gov/41652525"},"language":"en","primary_location":{"id":"doi:10.1186/s13040-026-00525-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13040-026-00525-5","pdf_url":null,"source":{"id":"https://openalex.org/S84409260","display_name":"BioData Mining","issn_l":"1756-0381","issn":["1756-0381"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioData Mining","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s13040-026-00525-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125188324","display_name":"Sijin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I4387154481","display_name":"Eighth Affiliated Hospital of Sun Yat-sen University","ror":"https://ror.org/00xjwyj62","country_code":null,"type":"healthcare","lineage":["https://openalex.org/I4387154481"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Sijin Li","raw_affiliation_strings":["Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao, The Eighth Affiliated Hospital, Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, Sun Yat-sen University, Shenzhen, Macao, China","Department of Cardiovascular Surgery, The Eighth Affiliated Hospital, Sun Yat- sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao, The Eighth Affiliated Hospital, Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, Sun Yat-sen University, Shenzhen, Macao, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"Department of Cardiovascular Surgery, The Eighth Affiliated Hospital, Sun Yat- sen University, Shenzhen, China","institution_ids":["https://openalex.org/I4387154481","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125234625","display_name":"Yuqi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Zhang","raw_affiliation_strings":["School of Computer Science & Engineering, Beihang University, Beijing, China","State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024001811","display_name":"Weijie Wu","orcid":"https://orcid.org/0000-0002-9718-1789"},"institutions":[{"id":"https://openalex.org/I4210114608","display_name":"Songshan Lake Materials Laboratory","ror":"https://ror.org/020vtf184","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210114608","https://openalex.org/I4210137180","https://openalex.org/I4210159876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Wu","raw_affiliation_strings":["Department of Cardiology, Dongguan Songshan Lake Tungwah Hospital, Dongguan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Dongguan Songshan Lake Tungwah Hospital, Dongguan, China","institution_ids":["https://openalex.org/I4210114608"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125177662","display_name":"Guang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114608","display_name":"Songshan Lake Materials Laboratory","ror":"https://ror.org/020vtf184","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210114608","https://openalex.org/I4210137180","https://openalex.org/I4210159876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Li","raw_affiliation_strings":["Department of Cardiology, Dongguan Songshan Lake Tungwah Hospital, Dongguan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Dongguan Songshan Lake Tungwah Hospital, Dongguan, China","institution_ids":["https://openalex.org/I4210114608"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125180455","display_name":"Tucheng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210097354","display_name":"Sun Yat-sen Memorial Hospital","ror":"https://ror.org/01px77p81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210097354"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tucheng Huang","raw_affiliation_strings":["Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210097354","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125154713","display_name":"Kuan Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4387154481","display_name":"Eighth Affiliated Hospital of Sun Yat-sen University","ror":"https://ror.org/00xjwyj62","country_code":null,"type":"healthcare","lineage":["https://openalex.org/I4387154481"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuan Zeng","raw_affiliation_strings":["Department of Cardiovascular Surgery, The Eighth Affiliated Hospital, Sun Yat- sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiovascular Surgery, The Eighth Affiliated Hospital, Sun Yat- sen University, Shenzhen, China","institution_ids":["https://openalex.org/I4387154481","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038117386","display_name":"Chao Tong","orcid":"https://orcid.org/0000-0003-4414-4965"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Tong","raw_affiliation_strings":["School of Computer Science & Engineering, Beihang University, Beijing, China. tongchao@buaa.edu.cn","State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China. tongchao@buaa.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, Beihang University, Beijing, China. tongchao@buaa.edu.cn","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China. tongchao@buaa.edu.cn","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125136764","display_name":"Heng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]},{"id":"https://openalex.org/I2800869586","display_name":"Tung Wah Hospital","ror":"https://ror.org/05pc9cb65","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1294586568","https://openalex.org/I2800869586"]},{"id":"https://openalex.org/I4210114608","display_name":"Songshan Lake Materials Laboratory","ror":"https://ror.org/020vtf184","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210114608","https://openalex.org/I4210137180","https://openalex.org/I4210159876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Li","raw_affiliation_strings":["Department of Cardiology, Dongguan Songshan Lake Tungwah Hospital, Dongguan, China. lh12818@163.com","Key Laboratory of Coronary Intraluminal Imaging and Functional Analysis of Dongguan City, Dongguan, China. lh12818@163.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Dongguan Songshan Lake Tungwah Hospital, Dongguan, China. lh12818@163.com","institution_ids":["https://openalex.org/I2800869586","https://openalex.org/I4210114608"]},{"raw_affiliation_string":"Key Laboratory of Coronary Intraluminal Imaging and Functional Analysis of Dongguan City, Dongguan, China. lh12818@163.com","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125164386","display_name":"Hui Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Hui Huang","raw_affiliation_strings":["Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao, The Eighth Affiliated Hospital, Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, Sun Yat-sen University, Shenzhen, Macao, China. huangh8@mail.sysu.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao, The Eighth Affiliated Hospital, Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, Sun Yat-sen University, Shenzhen, Macao, China. huangh8@mail.sysu.edu.cn","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5125164386"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1268612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"1","first_page":"17","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.534500002861023,"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":0.534500002861023,"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":0.16949999332427979,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.06400000303983688,"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/retrospective-cohort-study","display_name":"Retrospective cohort study","score":0.7077999711036682},{"id":"https://openalex.org/keywords/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.6651999950408936},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6503000259399414},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.461899995803833},{"id":"https://openalex.org/keywords/cohort","display_name":"Cohort","score":0.4050000011920929},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.39800000190734863},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.3799999952316284},{"id":"https://openalex.org/keywords/cohort-study","display_name":"Cohort study","score":0.3578000068664551},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.35760000348091125}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7391999959945679},{"id":"https://openalex.org/C167135981","wikidata":"https://www.wikidata.org/wiki/Q2146302","display_name":"Retrospective cohort study","level":2,"score":0.7077999711036682},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.6651999950408936},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6503000259399414},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.461899995803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4413999915122986},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.4228000044822693},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.4050000011920929},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4000999927520752},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.39800000190734863},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C201903717","wikidata":"https://www.wikidata.org/wiki/Q1778788","display_name":"Cohort study","level":2,"score":0.3578000068664551},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.35760000348091125},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.32420000433921814},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.30559998750686646},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C3020404979","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk stratification","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.28760001063346863},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.2872999906539917},{"id":"https://openalex.org/C187212893","wikidata":"https://www.wikidata.org/wiki/Q123028","display_name":"Pediatrics","level":1,"score":0.28040000796318054},{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C76318530","wikidata":"https://www.wikidata.org/wiki/Q16833590","display_name":"Area under the curve","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26579999923706055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26080000400543213},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C30036603","wikidata":"https://www.wikidata.org/wiki/Q17125150","display_name":"Severity of illness","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.25600001215934753}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s13040-026-00525-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13040-026-00525-5","pdf_url":null,"source":{"id":"https://openalex.org/S84409260","display_name":"BioData Mining","issn_l":"1756-0381","issn":["1756-0381"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioData Mining","raw_type":"journal-article"},{"id":"pmid:41652525","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41652525","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":"BioData mining","raw_type":null},{"id":"pmh:oai:europepmc.org:11700151","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12892771","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":"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:12892771","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12892771/","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BioData Min","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s13040-026-00525-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13040-026-00525-5","pdf_url":null,"source":{"id":"https://openalex.org/S84409260","display_name":"BioData Mining","issn_l":"1756-0381","issn":["1756-0381"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioData Mining","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.46269169449806213,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G3177502312","display_name":null,"funder_award_id":"82330021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6150179326","display_name":null,"funder_award_id":"62176016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W20074729","https://openalex.org/W2102014314","https://openalex.org/W2163781421","https://openalex.org/W2589173078","https://openalex.org/W2735898341","https://openalex.org/W2810312440","https://openalex.org/W2890716402","https://openalex.org/W2895043870","https://openalex.org/W2934014073","https://openalex.org/W2996026117","https://openalex.org/W2999615587","https://openalex.org/W3034280373","https://openalex.org/W3066371055","https://openalex.org/W3082188176","https://openalex.org/W3082794714","https://openalex.org/W3084352865","https://openalex.org/W3084534158","https://openalex.org/W3092391825","https://openalex.org/W3098915518","https://openalex.org/W3112189148","https://openalex.org/W3124359046","https://openalex.org/W3126263844","https://openalex.org/W3175017938","https://openalex.org/W3182158630","https://openalex.org/W4205601971","https://openalex.org/W4210409146","https://openalex.org/W4221077724","https://openalex.org/W4313246950","https://openalex.org/W4315700930","https://openalex.org/W4389165660","https://openalex.org/W4389166035","https://openalex.org/W4393216780","https://openalex.org/W4394571642","https://openalex.org/W4394914558","https://openalex.org/W4395007500","https://openalex.org/W4396514694","https://openalex.org/W4396640539","https://openalex.org/W4399280299","https://openalex.org/W4401066880","https://openalex.org/W4401917499","https://openalex.org/W4401977857","https://openalex.org/W4401983227","https://openalex.org/W4402049769","https://openalex.org/W4402112527","https://openalex.org/W4402824010","https://openalex.org/W4402827955","https://openalex.org/W4403680208","https://openalex.org/W4404556367","https://openalex.org/W4405230401","https://openalex.org/W4405425844","https://openalex.org/W4405530321","https://openalex.org/W4405728415","https://openalex.org/W4405765078","https://openalex.org/W4406532804","https://openalex.org/W4406727148","https://openalex.org/W4407084371","https://openalex.org/W4407182840","https://openalex.org/W4407265372","https://openalex.org/W4407439114","https://openalex.org/W4408201413"],"related_works":[],"abstract_inverted_index":{"AIMS:":[0],"Atrial":[1],"fibrillation":[2],"(AF)":[3],"is":[4,27],"a":[5],"common":[6],"arrhythmia":[7],"associated":[8,197],"with":[9,88,97,154,198],"increased":[10],"risks":[11],"of":[12,85,93,163,170],"stroke":[13],"and":[14,21,54,80,116,130,134,144,168,176,193,236,242],"heart":[15],"failure.":[16],"Early":[17],"differentiation":[18],"between":[19,77],"paroxysmal":[20,220],"persistent":[22,222],"AF":[23,52,90,99,199,223,246],"at":[24,224],"first":[25,225],"diagnosis":[26],"critical":[28],"for":[29,121],"guiding":[30],"treatment":[31],"decisions.":[32],"This":[33,203],"study":[34,205],"aimed":[35],"to":[36,50,181,189],"develop":[37],"an":[38,155],"interpretable":[39,208],"machine":[40,139,209],"learning":[41,140,210],"model":[42,149,191,229],"based":[43,212],"on":[44,213],"structured":[45,214],"electronic":[46],"health":[47],"records":[48],"(EHR)":[49],"distinguish":[51,219],"subtypes":[53],"identify":[55,194],"key":[56],"contributing":[57],"factors.":[58],"METHODS":[59],"AND":[60],"RESULTS:":[61],"In":[62],"this":[63],"multicenter,":[64],"retrospective":[65],"cohort":[66],"study,":[67],"data":[68,216],"were":[69,91,100,119,142,187],"collected":[70],"from":[71,179,221],"three":[72],"tertiary":[73],"hospitals":[74],"in":[75,245],"China":[76],"January":[78,81],"2013":[79],"2023.":[82],"A":[83],"total":[84],"11,986":[86],"patients":[87,96],"suspected":[89],"screened,":[92],"whom":[94],"4155":[95],"first-diagnosed":[98],"included":[101],"(paroxysmal:":[102],"2565":[103],"[61.3%];":[104],"persistent:":[105],"1620":[106],"[38.7%]).":[107],"Structured":[108],"EHR":[109,215],"variables,":[110],"including":[111],"clinical":[112],"demographics,":[113],"serological":[114],"indicators,":[115],"echocardiographic":[117],"parameters,":[118],"extracted":[120],"analysis.":[122],"Variable":[123],"selection":[124,135],"was":[125],"performed":[126],"using":[127],"Spearman":[128],"correlation":[129],"least":[131],"absolute":[132],"shrinkage":[133],"operator":[136],"regression.":[137],"Three":[138],"algorithms":[141],"trained":[143],"externally":[145],"validated.":[146],"The":[147,227],"CatBoost":[148],"achieved":[150],"the":[151,158],"best":[152],"performance,":[153],"area":[156],"under":[157],"receiver":[159],"operating":[160],"characteristic":[161],"curve":[162],"0.876":[164],"(95%":[165,172],"CI:":[166,173],"0.871\u20130.880)":[167],"accuracy":[169],"0.808":[171],"0.803\u20130.816).":[174],"Sensitivity":[175],"specificity":[177],"ranged":[178],"0.802":[180],"0.811.":[182],"Shapley":[183],"additive":[184],"explanations":[185],"(SHAP)":[186],"used":[188],"interpret":[190],"outputs":[192],"variables":[195],"most":[196],"subtype":[200],"classification.":[201],"CONCLUSION:":[202],"multicenter":[204],"demonstrates":[206],"that":[207],"models":[211],"can":[217],"accurately":[218],"diagnosis.":[226],"proposed":[228],"may":[230],"facilitate":[231],"early":[232],"subtype-specific":[233],"risk":[234],"stratification":[235],"personalized":[237],"treatment,":[238],"potentially":[239],"improve":[240],"outcomes,":[241],"reduce":[243],"disparities":[244],"care":[247],"across":[248],"different":[249],"medical":[250],"conditions.":[251]},"counts_by_year":[],"updated_date":"2026-02-12T06:13:03.167441","created_date":"2026-02-07T00:00:00"}