{"id":"https://openalex.org/W4391097175","doi":"https://doi.org/10.1109/access.2024.3356602","title":"Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm","display_name":"Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391097175","doi":"https://doi.org/10.1109/access.2024.3356602"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3356602","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3356602","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10410858.pdf","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://ieeexplore.ieee.org/ielx7/6287639/6514899/10410858.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000356984","display_name":"Amreen Batool","orcid":"https://orcid.org/0000-0002-6041-653X"},"institutions":[{"id":"https://openalex.org/I83202590","display_name":"Jeju National University","ror":"https://ror.org/05hnb4n85","country_code":"KR","type":"education","lineage":["https://openalex.org/I83202590"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Amreen Batool","raw_affiliation_strings":["Department of Electronic Engineering, Institute of Information Science and Technology, Jeju National University, Jeju-si, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6041-653X","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Institute of Information Science and Technology, Jeju National University, Jeju-si, South Korea","institution_ids":["https://openalex.org/I83202590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110809957","display_name":"Yung-Cheol Byun","orcid":"https://orcid.org/0000-0003-1107-9941"},"institutions":[{"id":"https://openalex.org/I83202590","display_name":"Jeju National University","ror":"https://ror.org/05hnb4n85","country_code":"KR","type":"education","lineage":["https://openalex.org/I83202590"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yung-Cheol Byun","raw_affiliation_strings":["Department of Computer Engineering, Major of Electronic Engineering, Institute of Information Science and Technology, Jeju National University, Jeju-si, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1107-9941","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Major of Electronic Engineering, Institute of Information Science and Technology, Jeju National University, Jeju-si, South Korea","institution_ids":["https://openalex.org/I83202590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83202590"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":17.7932,"has_fulltext":true,"cited_by_count":73,"citation_normalized_percentile":{"value":0.99431372,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"12869","last_page":"12882"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9890999794006348,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7128950953483582},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6655508875846863},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5262481570243835},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5131297707557678},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.5018978118896484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48362934589385986},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45953798294067383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43694791197776794},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3122982978820801},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08548220992088318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128950953483582},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6655508875846863},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5262481570243835},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5131297707557678},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.5018978118896484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48362934589385986},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45953798294067383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43694791197776794},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3122982978820801},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08548220992088318},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3356602","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3356602","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10410858.pdf","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:6da94575df4c4f679fa7f680ded90948","is_oa":true,"landing_page_url":"https://doaj.org/article/6da94575df4c4f679fa7f680ded90948","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 12869-12882 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3356602","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3356602","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10410858.pdf","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G4201420340","display_name":null,"funder_award_id":"P0016977","funder_id":"https://openalex.org/F4320322064","funder_display_name":"Korea Institute for Advancement of Technology"},{"id":"https://openalex.org/G5772510515","display_name":null,"funder_award_id":"S3246057","funder_id":"https://openalex.org/F4320322064","funder_display_name":"Korea Institute for Advancement of Technology"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322064","display_name":"Korea Institute for Advancement of Technology","ror":"https://ror.org/015w1qa96"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391097175.pdf","grobid_xml":"https://content.openalex.org/works/W4391097175.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W2042396525","https://openalex.org/W2328849795","https://openalex.org/W2604808181","https://openalex.org/W2615419746","https://openalex.org/W2773369816","https://openalex.org/W2801824954","https://openalex.org/W2856141131","https://openalex.org/W2897826619","https://openalex.org/W2900598239","https://openalex.org/W2952523812","https://openalex.org/W2983506648","https://openalex.org/W3001857267","https://openalex.org/W3013510938","https://openalex.org/W3016703509","https://openalex.org/W3034751302","https://openalex.org/W3037581433","https://openalex.org/W3037802991","https://openalex.org/W3047302266","https://openalex.org/W3047743240","https://openalex.org/W3083171672","https://openalex.org/W3093561685","https://openalex.org/W3096802791","https://openalex.org/W3097687649","https://openalex.org/W3108206494","https://openalex.org/W3128254342","https://openalex.org/W3130568431","https://openalex.org/W3176040831","https://openalex.org/W4220704965","https://openalex.org/W4220863748","https://openalex.org/W4281739724","https://openalex.org/W4283214210","https://openalex.org/W4283512560","https://openalex.org/W4283577913","https://openalex.org/W4283819520","https://openalex.org/W4284888391","https://openalex.org/W4285262630","https://openalex.org/W4286470556","https://openalex.org/W4286494306","https://openalex.org/W4288182600","https://openalex.org/W4289865919","https://openalex.org/W4295592723","https://openalex.org/W4297905585","https://openalex.org/W4300690596","https://openalex.org/W4303982355","https://openalex.org/W4309007274","https://openalex.org/W4311279642","https://openalex.org/W4312074709","https://openalex.org/W4312552324","https://openalex.org/W4312569826","https://openalex.org/W4313134332","https://openalex.org/W4313213832","https://openalex.org/W4318570548","https://openalex.org/W4385194822","https://openalex.org/W4385576721","https://openalex.org/W4386799979","https://openalex.org/W4387021700","https://openalex.org/W6886019862","https://openalex.org/W6946075548"],"related_works":["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","https://openalex.org/W3213683101"],"abstract_inverted_index":{"Over":[0],"the":[1,8,76,83,150,155,162,172,189],"past":[2],"decade,":[3],"breast":[4,21,41,55,197],"cancer":[5,13,22,42,198],"has":[6],"been":[7],"most":[9,190],"common":[10],"type":[11],"of":[12,127,131,135,141,154,183,204],"in":[14,202],"women.":[15],"Different":[16],"methods":[17,25,50],"were":[18],"proposed":[19,121,156],"for":[20,40,60,196],"detection.":[23],"These":[24],"mainly":[26],"classify":[27],"and":[28,31,46,53,115,137,152,158,175,200,206],"categorize":[29,54],"malignant":[30],"Benign":[32],"tumors.":[33],"Machine":[34,110],"learning":[35,101,194],"is":[36,65,186],"a":[37,92,129,133],"practical":[38],"approach":[39,69,123],"classification.":[43],"Data":[44],"mining":[45],"classification":[47,59],"are":[48,146,168],"effective":[49],"to":[51,74,148,187],"predict":[52],"cancer.":[56],"The":[57,67,120,180],"optimum":[58],"detecting":[61],"Breast":[62,85],"Cancer":[63,86],"(BC)":[64],"ensemble-based.":[66],"ensemble":[68,94,192],"involves":[70],"using":[71],"multiple":[72],"ways":[73],"find":[75],"best":[77],"possible":[78],"solution.":[79],"This":[80],"study":[81,185],"used":[82,147],"Wisconsin":[84],"Diagnostic":[87],"(WBCD)":[88],"dataset.":[89],"We":[90],"created":[91],"voting":[93],"classifier":[95,174,195],"that":[96],"combines":[97],"four":[98],"different":[99,176],"machine":[100,193],"models:":[102],"Extra":[103],"Trees":[104],"Classifier":[105,113],"(ETC),":[106],"Light":[107],"Gradient":[108],"Boosting":[109],"(LightGBM),":[111],"Ridge":[112],"(RC),":[114],"Linear":[116],"Discriminant":[117],"Analysis":[118],"(LDA).":[119],"ELRL-E":[122],"achieved":[124],"an":[125,138],"accuracy":[126,205],"97.6%,":[128],"precision":[130],"96.4%,":[132],"recall":[134],"100%,":[136],"F1":[139],"score":[140],"98.1%.":[142],"Various":[143],"output":[144],"evaluations":[145],"evaluate":[149],"performance":[151],"efficiency":[153],"model":[157],"other":[159],"classifiers.":[160,179],"Overall,":[161],"recommended":[163],"strategy":[164],"performed":[165],"better.":[166],"Results":[167],"directly":[169],"compared":[170],"with":[171],"individual":[173],"recognized":[177],"state-of-the-art":[178],"primary":[181],"objective":[182],"this":[184],"identify":[188],"influential":[191],"detection":[199],"diagnosis":[201],"terms":[203],"AUC":[207],"score.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":17},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":16}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
