{"id":"https://openalex.org/W4404755485","doi":"https://doi.org/10.3390/computers13120316","title":"Blending Ensemble Learning Model for 12-Lead Electrocardiogram-Based Arrhythmia Classification","display_name":"Blending Ensemble Learning Model for 12-Lead Electrocardiogram-Based Arrhythmia Classification","publication_year":2024,"publication_date":"2024-11-27","ids":{"openalex":"https://openalex.org/W4404755485","doi":"https://doi.org/10.3390/computers13120316"},"language":"en","primary_location":{"id":"doi:10.3390/computers13120316","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers13120316","pdf_url":"https://www.mdpi.com/2073-431X/13/12/316/pdf?version=1732724116","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-431X/13/12/316/pdf?version=1732724116","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086755294","display_name":"Hai-Long Nguyen","orcid":"https://orcid.org/0009-0008-7866-1323"},"institutions":[{"id":"https://openalex.org/I4210095603","display_name":"Vietnam Posts and Telecommunications Group (Vietnam)","ror":"https://ror.org/00q0e7f94","country_code":"VN","type":"company","lineage":["https://openalex.org/I4210095603"]},{"id":"https://openalex.org/I4400600977","display_name":"Posts and Telecommunications Institute of Technology","ror":"https://ror.org/0363rtq22","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600977"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Hai-Long Nguyen","raw_affiliation_strings":["Data and Intelligent Systems Laboratory, Posts and Telecommunications Institute of Technology, Hanoi 10000, Vietnam"],"raw_orcid":"https://orcid.org/0009-0008-2008-464X","affiliations":[{"raw_affiliation_string":"Data and Intelligent Systems Laboratory, Posts and Telecommunications Institute of Technology, Hanoi 10000, Vietnam","institution_ids":["https://openalex.org/I4400600977","https://openalex.org/I4210095603"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019178010","display_name":"S. Pham","orcid":"https://orcid.org/0009-0005-2230-7374"},"institutions":[{"id":"https://openalex.org/I4400600977","display_name":"Posts and Telecommunications Institute of Technology","ror":"https://ror.org/0363rtq22","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600977"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Van Su Pham","raw_affiliation_strings":["Faculty of Electronics Engineering, Posts and Telecommunications Institute of Technology, Hanoi 10000, Vietnam"],"raw_orcid":"https://orcid.org/0009-0005-2230-7374","affiliations":[{"raw_affiliation_string":"Faculty of Electronics Engineering, Posts and Telecommunications Institute of Technology, Hanoi 10000, Vietnam","institution_ids":["https://openalex.org/I4400600977"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065053024","display_name":"Hai-Chau Le","orcid":"https://orcid.org/0000-0003-0300-7761"},"institutions":[{"id":"https://openalex.org/I4210095603","display_name":"Vietnam Posts and Telecommunications Group (Vietnam)","ror":"https://ror.org/00q0e7f94","country_code":"VN","type":"company","lineage":["https://openalex.org/I4210095603"]},{"id":"https://openalex.org/I4400600977","display_name":"Posts and Telecommunications Institute of Technology","ror":"https://ror.org/0363rtq22","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600977"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Hai-Chau Le","raw_affiliation_strings":["Data and Intelligent Systems Laboratory, Posts and Telecommunications Institute of Technology, Hanoi 10000, Vietnam","Department of Data Engineering, Posts and Telecommunications Institute of Technology, Hanoi 10000, Vietnam"],"raw_orcid":"https://orcid.org/0000-0003-0300-7761","affiliations":[{"raw_affiliation_string":"Data and Intelligent Systems Laboratory, Posts and Telecommunications Institute of Technology, Hanoi 10000, Vietnam","institution_ids":["https://openalex.org/I4400600977","https://openalex.org/I4210095603"]},{"raw_affiliation_string":"Department of Data Engineering, Posts and Telecommunications Institute of Technology, Hanoi 10000, Vietnam","institution_ids":["https://openalex.org/I4400600977","https://openalex.org/I4210095603"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065053024"],"corresponding_institution_ids":["https://openalex.org/I4210095603","https://openalex.org/I4400600977"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":1.8764,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87944515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"13","issue":"12","first_page":"316","last_page":"316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9593999981880188,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9593999981880188,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6462389230728149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5551884174346924},{"id":"https://openalex.org/keywords/cardiac-arrhythmia","display_name":"Cardiac arrhythmia","score":0.5364644527435303},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.5193473100662231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5064414739608765},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3919733464717865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34221529960632324},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.21502670645713806},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1756928563117981},{"id":"https://openalex.org/keywords/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.11016076803207397},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10640180110931396}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6462389230728149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5551884174346924},{"id":"https://openalex.org/C2988455589","wikidata":"https://www.wikidata.org/wiki/Q189331","display_name":"Cardiac arrhythmia","level":3,"score":0.5364644527435303},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.5193473100662231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5064414739608765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3919733464717865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34221529960632324},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.21502670645713806},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1756928563117981},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.11016076803207397},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10640180110931396},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computers13120316","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers13120316","pdf_url":"https://www.mdpi.com/2073-431X/13/12/316/pdf?version=1732724116","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2129d3671dc744169b8ef2c59fb3bfcf","is_oa":false,"landing_page_url":"https://doaj.org/article/2129d3671dc744169b8ef2c59fb3bfcf","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers, Vol 13, Iss 12, p 316 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computers13120316","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers13120316","pdf_url":"https://www.mdpi.com/2073-431X/13/12/316/pdf?version=1732724116","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4404755485.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2795157542","https://openalex.org/W2927752485","https://openalex.org/W2996959172","https://openalex.org/W2997681386","https://openalex.org/W3008167346","https://openalex.org/W3049002444","https://openalex.org/W3127637041","https://openalex.org/W3154067347","https://openalex.org/W3201016655","https://openalex.org/W4231194816","https://openalex.org/W4288757776","https://openalex.org/W4292423723","https://openalex.org/W4293088863","https://openalex.org/W4367319404","https://openalex.org/W4384818051","https://openalex.org/W4387699632","https://openalex.org/W4391683380","https://openalex.org/W4392231575","https://openalex.org/W4395692877","https://openalex.org/W6840865271"],"related_works":["https://openalex.org/W4255463199","https://openalex.org/W4376643315","https://openalex.org/W4324137541","https://openalex.org/W2900445707","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548","https://openalex.org/W4210302090","https://openalex.org/W3092276832","https://openalex.org/W4375951447"],"abstract_inverted_index":{"The":[0,42],"increasing":[1],"prevalence":[2],"of":[3,10,139],"heart":[4],"diseases":[5],"has":[6],"driven":[7],"the":[8,52,70,83,121],"development":[9],"automated":[11],"arrhythmia":[12,32],"classification":[13,137],"systems":[14],"using":[15,34],"machine":[16,99],"learning":[17,27,100],"and":[18,67,78,115],"electrocardiograms":[19],"(ECGs).":[20],"This":[21],"paper":[22],"presents":[23],"a":[24,39,45,80,135],"novel":[25],"ensemble":[26],"method":[28],"for":[29,82,145],"classifying":[30],"multiple":[31],"types":[33],"12-lead":[35],"ECG":[36],"signals":[37],"through":[38,88],"blending":[40,123],"technique.":[41],"framework":[43],"employs":[44],"predetermined":[46],"meta-model":[47,128],"from":[48],"foundation":[49],"models,":[50,133],"while":[51],"remaining":[53],"models":[54],"serve":[55],"as":[56],"potential":[57],"base":[58,75,132],"estimators,":[59],"ranked":[60],"by":[61],"accuracy.":[62],"Using":[63],"sequential":[64],"forward":[65],"selection":[66],"meta-feature":[68],"augmentation,":[69],"system":[71],"determines":[72],"an":[73,126,142],"optimal":[74,131],"estimator":[76],"set":[77],"creates":[79],"meta-dataset":[81],"meta-model,":[84],"which":[85],"is":[86],"optimized":[87],"grid":[89],"search":[90],"with":[91,96,129],"k-fold":[92],"cross-validation.":[93],"Experiments":[94],"conducted":[95],"seven":[97],"diverse":[98],"algorithms":[101],"(Adaptive":[102],"Boosting,":[103,106],"Extreme":[104],"Gradient":[105],"Decision":[107],"Trees,":[108],"k-Nearest":[109],"Neighbors,":[110],"Logistic":[111],"Regression,":[112],"Random":[113],"Forest,":[114],"Support":[116],"Vector":[117],"Machine)":[118],"demonstrate":[119],"that":[120],"proposed":[122],"solution,":[124],"utilizing":[125],"LR":[127],"three":[130],"achieves":[134],"superior":[136],"accuracy":[138],"96.48%,":[140],"offering":[141],"effective":[143],"tool":[144],"clinical":[146],"decision":[147],"support.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}