{"id":"https://openalex.org/W4411725466","doi":"https://doi.org/10.1109/access.2025.3583757","title":"Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach","display_name":"Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411725466","doi":"https://doi.org/10.1109/access.2025.3583757"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3583757","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3583757","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3583757","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032062500","display_name":"Isha Gupta","orcid":"https://orcid.org/0000-0001-6588-5952"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Isha Gupta","raw_affiliation_strings":["Department of Mathematics, Thapar Institute of Engineering and Technology, Patiala, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Thapar Institute of Engineering and Technology, Patiala, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036786084","display_name":"Anu Bajaj","orcid":"https://orcid.org/0000-0001-8563-6611"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anu Bajaj","raw_affiliation_strings":["Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, India"],"raw_orcid":"https://orcid.org/0000-0001-8563-6611","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068990255","display_name":"Manav Malhotra","orcid":null},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manav Malhotra","raw_affiliation_strings":["Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, India"],"raw_orcid":"https://orcid.org/0009-0002-7436-9532","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681053","display_name":"Vikas Sharma","orcid":"https://orcid.org/0000-0002-7378-557X"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vikas Sharma","raw_affiliation_strings":["Department of Mathematics, Thapar Institute of Engineering and Technology, Patiala, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Thapar Institute of Engineering and Technology, Patiala, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087542455","display_name":"Ajith Abraham","orcid":"https://orcid.org/0000-0002-0169-6738"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ajith Abraham","raw_affiliation_strings":["School of Artificial Intelligence, Sai University, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0002-0169-6738","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Sai University, Chennai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032062500"],"corresponding_institution_ids":["https://openalex.org/I162030827"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":7.8172,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.97098563,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"111926","last_page":"111937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.993399977684021,"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/feature-selection","display_name":"Feature selection","score":0.7486376166343689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7435324192047119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6476297378540039},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6304441094398499},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5248551368713379},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5006923675537109},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48225146532058716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42597201466560364}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7486376166343689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7435324192047119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6476297378540039},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6304441094398499},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5248551368713379},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5006923675537109},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48225146532058716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42597201466560364},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3583757","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3583757","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ee7e6bbcb45845bca81d5b8036713014","is_oa":true,"landing_page_url":"https://doaj.org/article/ee7e6bbcb45845bca81d5b8036713014","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":"IEEE Access, Vol 13, Pp 111926-111937 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3583757","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3583757","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1965587486","https://openalex.org/W2114842946","https://openalex.org/W2139727462","https://openalex.org/W3046111590","https://openalex.org/W3153465674","https://openalex.org/W3167916995","https://openalex.org/W4206264821","https://openalex.org/W4212792396","https://openalex.org/W4212873404","https://openalex.org/W4214844979","https://openalex.org/W4221028481","https://openalex.org/W4221058841","https://openalex.org/W4224047587","https://openalex.org/W4285821496","https://openalex.org/W4287833982","https://openalex.org/W4296965882","https://openalex.org/W4297537883","https://openalex.org/W4298007628","https://openalex.org/W4303709772","https://openalex.org/W4308310014","https://openalex.org/W4311372922","https://openalex.org/W4323644141","https://openalex.org/W4324387599","https://openalex.org/W4364295678","https://openalex.org/W4365517060","https://openalex.org/W4376607149","https://openalex.org/W4377699811","https://openalex.org/W4379260830","https://openalex.org/W4389417903","https://openalex.org/W4391146590","https://openalex.org/W4391470001","https://openalex.org/W4408992855"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W4376643315","https://openalex.org/W4386564352","https://openalex.org/W4324137541","https://openalex.org/W2952668426","https://openalex.org/W2900445707","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548"],"abstract_inverted_index":{"Heart":[0],"diseases":[1],"have":[2],"become":[3],"the":[4,11,23,30,105,129,133],"leading":[5],"cause":[6],"of":[7,32,55,69],"death":[8],"globally,":[9],"highlighting":[10],"urgent":[12],"need":[13],"for":[14,81],"robust":[15],"diagnostic":[16],"and":[17,59,73,96,118],"treatment":[18],"methods.":[19],"This":[20,41,76],"study":[21],"leverages":[22],"UCI":[24],"heart":[25,39],"disease":[26],"dataset":[27],"to":[28,100],"assess":[29],"effectiveness":[31],"various":[33],"Machine":[34],"Learning":[35],"models":[36],"in":[37],"predicting":[38],"diseases.":[40],"paper":[42],"proposed":[43,106,130],"an":[44],"advanced":[45],"prediction":[46],"method":[47,131],"that":[48,128],"combines":[49],"feature":[50],"selection":[51],"using":[52],"a":[53,65],"hybrid":[54],"Genetic":[56],"Algorithm":[57],"(GA)":[58],"Cuckoo":[60],"Search":[61],"Optimization":[62],"(CSO)":[63],"with":[64],"majority":[66],"voting":[67],"ensemble":[68],"Convolutional":[70],"Neural":[71],"Network":[72],"Random":[74],"Forest.":[75],"approach":[77],"also":[78],"integrated":[79],"GA":[80],"hyperparameter":[82],"tuning,":[83],"enhancing":[84],"predictive":[85],"accuracy.":[86],"Comprehensive":[87],"preprocessing":[88],"techniques,":[89],"including":[90],"handling":[91],"missing":[92],"values,":[93],"outlier":[94],"detection,":[95],"normalization,":[97],"were":[98],"employed":[99],"ensure":[101],"data":[102],"quality.":[103],"Using":[104],"approach,":[107],"95%":[108],"accuracy,":[109],"95.65%":[110],"precision,":[111],"91.7%":[112],"recall,":[113],"93.61%":[114],"F1-score,":[115],"97.22%":[116],"specificity,":[117],"95.02%":[119],"ROC":[120],"AUC":[121],"has":[122],"been":[123],"achieved.":[124],"Our":[125],"results":[126],"demonstrate":[127],"outperforms":[132],"existing":[134],"models.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
