{"id":"https://openalex.org/W4399526810","doi":"https://doi.org/10.1109/access.2024.3412077","title":"A Hybrid Feature Selection and Ensemble Stacked Learning Models on Multi-Variant CVD Datasets for Effective Classification","display_name":"A Hybrid Feature Selection and Ensemble Stacked Learning Models on Multi-Variant CVD Datasets for Effective Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399526810","doi":"https://doi.org/10.1109/access.2024.3412077"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3412077","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3412077","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":null,"license_id":null,"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.2024.3412077","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085133894","display_name":"Abhigya Mahajan","orcid":"https://orcid.org/0009-0009-6197-3045"},"institutions":[{"id":"https://openalex.org/I59179055","display_name":"Shri Mata Vaishno Devi University","ror":"https://ror.org/036x6w630","country_code":"IN","type":"education","lineage":["https://openalex.org/I59179055"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abhigya Mahajan","raw_affiliation_strings":["School of Computer Science and Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India"],"raw_orcid":"https://orcid.org/0009-0009-6197-3045","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India","institution_ids":["https://openalex.org/I59179055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084461458","display_name":"Baijnath Kaushik","orcid":"https://orcid.org/0000-0003-2083-6924"},"institutions":[{"id":"https://openalex.org/I59179055","display_name":"Shri Mata Vaishno Devi University","ror":"https://ror.org/036x6w630","country_code":"IN","type":"education","lineage":["https://openalex.org/I59179055"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Baijnath Kaushik","raw_affiliation_strings":["School of Computer Science and Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India"],"raw_orcid":"https://orcid.org/0000-0003-2083-6924","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India","institution_ids":["https://openalex.org/I59179055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009648941","display_name":"Mohammad Khalid Imam Rahmani","orcid":"https://orcid.org/0000-0002-1937-7145"},"institutions":[{"id":"https://openalex.org/I120238654","display_name":"Saudi Electronic University","ror":"https://ror.org/05ndh7v49","country_code":"SA","type":"education","lineage":["https://openalex.org/I120238654"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammad Khalid Imam Rahmani","raw_affiliation_strings":["College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-1937-7145","affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I120238654"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092998717","display_name":"Abdulbasid S. Banga","orcid":"https://orcid.org/0000-0002-0851-0780"},"institutions":[{"id":"https://openalex.org/I120238654","display_name":"Saudi Electronic University","ror":"https://ror.org/05ndh7v49","country_code":"SA","type":"education","lineage":["https://openalex.org/I120238654"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdulbasid S. Banga","raw_affiliation_strings":["College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I120238654"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085133894"],"corresponding_institution_ids":["https://openalex.org/I59179055"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":7.7805,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.97189093,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"87023","last_page":"87038"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9991999864578247,"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":0.9991999864578247,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9653000235557556,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9537000060081482,"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/computer-science","display_name":"Computer science","score":0.7555469870567322},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7262166738510132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6020099520683289},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5707921385765076},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5587363839149475},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5362510085105896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4929661750793457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46896612644195557},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3281603455543518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555469870567322},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7262166738510132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6020099520683289},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5707921385765076},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5587363839149475},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5362510085105896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4929661750793457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46896612644195557},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3281603455543518},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3412077","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3412077","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8455446c2a5c4c12aa4ea4c957d283f2","is_oa":true,"landing_page_url":"https://doaj.org/article/8455446c2a5c4c12aa4ea4c957d283f2","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":"IEEE Access, Vol 12, Pp 87023-87038 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3412077","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3412077","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1964768394","https://openalex.org/W2020176002","https://openalex.org/W2030322782","https://openalex.org/W2031853714","https://openalex.org/W2185735639","https://openalex.org/W2574421857","https://openalex.org/W2579725890","https://openalex.org/W2793384337","https://openalex.org/W2794835576","https://openalex.org/W2803098482","https://openalex.org/W2809173583","https://openalex.org/W2904290041","https://openalex.org/W2949767632","https://openalex.org/W2953505302","https://openalex.org/W2954788759","https://openalex.org/W2983488099","https://openalex.org/W2991486385","https://openalex.org/W3013170635","https://openalex.org/W3014983221","https://openalex.org/W3021925134","https://openalex.org/W3035095744","https://openalex.org/W3087932595","https://openalex.org/W3095307057","https://openalex.org/W3095333182","https://openalex.org/W3097727941","https://openalex.org/W3098524560","https://openalex.org/W3121108813","https://openalex.org/W3121216533","https://openalex.org/W3160728132","https://openalex.org/W3163318386","https://openalex.org/W3171133750","https://openalex.org/W3177781640","https://openalex.org/W3194175849","https://openalex.org/W3203334547","https://openalex.org/W3204349696","https://openalex.org/W3204889838","https://openalex.org/W3209743817","https://openalex.org/W3209840484","https://openalex.org/W4200488444","https://openalex.org/W4200508895","https://openalex.org/W4210253752","https://openalex.org/W4213135524","https://openalex.org/W4214493122","https://openalex.org/W4226378822","https://openalex.org/W4229025854","https://openalex.org/W4229448523","https://openalex.org/W4280492951","https://openalex.org/W4281634075","https://openalex.org/W4281636074","https://openalex.org/W4283319204","https://openalex.org/W4285136972","https://openalex.org/W4285821496","https://openalex.org/W4285891463","https://openalex.org/W4293053868","https://openalex.org/W4297486362","https://openalex.org/W4312140440","https://openalex.org/W4313188723","https://openalex.org/W4313216306","https://openalex.org/W4313830855","https://openalex.org/W4323039248","https://openalex.org/W4360976055","https://openalex.org/W4386760978","https://openalex.org/W4390588437","https://openalex.org/W4390640200","https://openalex.org/W4391093975","https://openalex.org/W4393270749"],"related_works":["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","https://openalex.org/W4210302090","https://openalex.org/W3092276832"],"abstract_inverted_index":{"Predicting":[0],"cardiac":[1,73],"or":[2],"heart":[3,45],"disease":[4,46,75],"has":[5,53,186],"emerged":[6],"as":[7,19,27,60],"a":[8,20,36,109,153],"formidable":[9],"challenge":[10],"in":[11],"the":[12,30,103,131,135,138,148,160,193],"medical":[13],"domain":[14],"recently.":[15],"It":[16],"is":[17,164],"recognized":[18],"major":[21],"global":[22],"health":[23],"concern,":[24],"and":[25,65,82,87,97,126,177,191,195],"stands":[26],"one":[28],"of":[29,33,44,140,156],"primary":[31],"causes":[32],"mortality,":[34],"posing":[35],"significant":[37,188],"threat":[38],"to":[39,48,101,129,166],"human":[40],"life.":[41],"Early":[42],"detection":[43],"helps":[47],"reduce":[49],"mortality.":[50],"This":[51,106],"study":[52,107],"experimented":[54],"with":[55],"three":[56,78,149,201],"benchmark":[57,150],"datasets":[58,151],"such":[59],"UCI":[61],"Heart":[62],"Disease,":[63],"Framingham,":[64],"Z-Alizadeh":[66],"Saini":[67],"containing":[68],"important":[69],"clinical":[70],"information":[71],"for":[72,93],"vascular":[74],"(CVD).":[76],"These":[77],"datasets\u2019":[79],"multi-variant":[80],"(categorical":[81],"continuous)":[83],"features,":[84],"variable":[85],"dimensions,":[86],"multicollinearity":[88],"characteristics":[89,145],"provide":[90],"substantial":[91],"challenges":[92],"machine":[94],"learning":[95,169],"(ML)":[96],"other":[98],"models":[99,198],"aiming":[100],"achieve":[102],"desired":[104],"results.":[105],"proposes":[108],"statistical":[110],"feature":[111,118,162],"selection":[112],"(SFS)":[113],"stacking":[114,171,178],"framework":[115],"using":[116,152,172,179],"four":[117],"engineering":[119],"techniques,":[120],"Chi-Square,":[121],"Gini":[122],"Index,":[123],"Information":[124],"Gain,":[125],"ANOVA":[127],"F-test,":[128],"select":[130],"optimal":[132],"features":[133,158],"from":[134,147,159],"datasets.":[136,202],"Further,":[137],"likelihood":[139],"developing":[141],"CVD":[142],"based":[143],"on":[144,199],"extracted":[146],"reduced":[154],"set":[155,163],"optimized":[157],"initial":[161],"fed":[165],"ensemble":[167],"stacked":[168],"models:":[170],"Support":[173],"Vector":[174],"Machine":[175],"(SFS-SVM)":[176],"Cross-Validation":[180],"Classifier":[181],"(SFS-SCVC).":[182],"The":[183],"SFS-SCVC":[184],"model":[185],"achieved":[187],"performance":[189],"metrics":[190],"outperformed":[192],"SFS-SVM":[194],"traditional":[196],"ML":[197],"all":[200]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}