{"id":"https://openalex.org/W4386952017","doi":"https://doi.org/10.1109/access.2023.3318261","title":"En-MinWhale: An Ensemble Approach Based on MRMR and Whale Optimization for Cancer Diagnosis","display_name":"En-MinWhale: An Ensemble Approach Based on MRMR and Whale Optimization for Cancer Diagnosis","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386952017","doi":"https://doi.org/10.1109/access.2023.3318261"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3318261","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3318261","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10261176.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/ielx7/6287639/6514899/10261176.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028025063","display_name":"Amrutanshu Panigrahi","orcid":"https://orcid.org/0000-0002-1077-8532"},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amrutanshu Panigrahi","raw_affiliation_strings":["Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India"],"raw_orcid":"https://orcid.org/0000-0002-1077-8532","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090980316","display_name":"Abhilash Pati","orcid":"https://orcid.org/0000-0002-3418-4202"},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhilash Pati","raw_affiliation_strings":["Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India"],"raw_orcid":"https://orcid.org/0000-0002-3418-4202","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036363361","display_name":"Bibhuprasad Sahu","orcid":"https://orcid.org/0000-0003-3951-9312"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bibhuprasad Sahu","raw_affiliation_strings":["Department of AI&#x0026;DS, Vardhaman College of Engineering (Autonomous), Hyderabad, Telangana, India"],"raw_orcid":"https://orcid.org/0000-0003-3951-9312","affiliations":[{"raw_affiliation_string":"Department of AI&#x0026;DS, Vardhaman College of Engineering (Autonomous), Hyderabad, Telangana, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031962220","display_name":"Manmath Nath Das","orcid":"https://orcid.org/0009-0002-3735-4884"},"institutions":[{"id":"https://openalex.org/I2801452159","display_name":"Vignana Jyothi Institute of Management","ror":"https://ror.org/02ken4f88","country_code":"IN","type":"education","lineage":["https://openalex.org/I2801452159"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manmath Nath Das","raw_affiliation_strings":["Department of AI&#x0026;DS, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI&#x0026;DS, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India","institution_ids":["https://openalex.org/I2801452159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038481723","display_name":"Debasish Swapnesh Kumar Nayak","orcid":"https://orcid.org/0000-0001-5553-5692"},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debasish Swapnesh Kumar Nayak","raw_affiliation_strings":["Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India"],"raw_orcid":"https://orcid.org/0000-0001-5553-5692","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060615642","display_name":"Ghanashyam Sahoo","orcid":"https://orcid.org/0000-0002-2094-7977"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghanashyam Sahoo","raw_affiliation_strings":["Department of Computer Science and Engineering, GITA Autonomous College, Bhubaneswar, Odisha, India"],"raw_orcid":"https://orcid.org/0000-0002-2094-7977","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, GITA Autonomous College, Bhubaneswar, Odisha, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001598185","display_name":"Shashi Kant","orcid":"https://orcid.org/0000-0003-4722-5736"},"institutions":[{"id":"https://openalex.org/I4210124021","display_name":"Bule Hora University","ror":"https://ror.org/038n8fg68","country_code":"ET","type":"education","lineage":["https://openalex.org/I4210124021"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Shashi Kant","raw_affiliation_strings":["Department of Management, College of Business and Economics, Bule Hora University, Bule Hora, Ethiopia"],"raw_orcid":"https://orcid.org/0000-0003-4722-5736","affiliations":[{"raw_affiliation_string":"Department of Management, College of Business and Economics, Bule Hora University, Bule Hora, Ethiopia","institution_ids":["https://openalex.org/I4210124021"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":16.2805,"has_fulltext":true,"cited_by_count":100,"citation_normalized_percentile":{"value":0.99411694,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"113526","last_page":"113542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.998199999332428,"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":0.998199999332428,"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/T13693","display_name":"Smart Systems and Machine Learning","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.708780825138092},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6118735671043396},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5555797815322876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5321401953697205},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4725327789783478},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.460151731967926},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.45757246017456055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45664188265800476},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4470875561237335},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4426336884498596},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15588653087615967}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708780825138092},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6118735671043396},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5555797815322876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5321401953697205},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4725327789783478},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.460151731967926},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.45757246017456055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45664188265800476},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4470875561237335},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4426336884498596},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15588653087615967},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3318261","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3318261","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10261176.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:d478f744031c4497bec51a8fc20b9352","is_oa":true,"landing_page_url":"https://doaj.org/article/d478f744031c4497bec51a8fc20b9352","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 11, Pp 113526-113542 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3318261","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3318261","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10261176.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/3","display_name":"Good health and well-being","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386952017.pdf","grobid_xml":"https://content.openalex.org/works/W4386952017.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1565315670","https://openalex.org/W2152759249","https://openalex.org/W2290883490","https://openalex.org/W2597886184","https://openalex.org/W2745759175","https://openalex.org/W2768149277","https://openalex.org/W2903754912","https://openalex.org/W2912582129","https://openalex.org/W2917071632","https://openalex.org/W2922096023","https://openalex.org/W2949607402","https://openalex.org/W2953622398","https://openalex.org/W2972093761","https://openalex.org/W3005520922","https://openalex.org/W3024333932","https://openalex.org/W3032218674","https://openalex.org/W3117495151","https://openalex.org/W3133482888","https://openalex.org/W3136420378","https://openalex.org/W3148181069","https://openalex.org/W3158505476","https://openalex.org/W3168569448","https://openalex.org/W3171439488","https://openalex.org/W3173256495","https://openalex.org/W3173635701","https://openalex.org/W3208458519","https://openalex.org/W3214799888","https://openalex.org/W4206740177","https://openalex.org/W4210506303","https://openalex.org/W4210598545","https://openalex.org/W4213148269","https://openalex.org/W4220768037","https://openalex.org/W4221082785","https://openalex.org/W4229365225","https://openalex.org/W4289209227","https://openalex.org/W4293051434","https://openalex.org/W4293056613","https://openalex.org/W4293276539","https://openalex.org/W4310066656","https://openalex.org/W4311358210","https://openalex.org/W4316660132","https://openalex.org/W4319297891","https://openalex.org/W4366829649","https://openalex.org/W4382402870","https://openalex.org/W6803922733"],"related_works":["https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W1517228774"],"abstract_inverted_index":{"According":[0,47],"to":[1,48,66,70,86,114,125,151,189,223,234,238],"the":[2,19,44,49,52,60,72,97,115,118,174,186,191,220,228,235,270,273,324],"WHO,":[3],"Cancer":[4,311,327],"is":[5,54,102,140,183,232,250,276],"a":[6,80,108,123],"prominent":[7],"cause":[8],"of":[9,21,27,40,142,194,256,272],"mortality":[10],"worldwide,":[11],"accounting":[12],"for":[13,161,185,243,303],"~":[14],"10":[15],"million":[16],"fatalities":[17],"at":[18,56],"end":[20],"2020.":[22],"The":[23,99,164,178,246,291],"most":[24],"common":[25],"types":[26,255],"cancers":[28],"include":[29],"Lung,":[30,261,304],"Breast,":[31,265,308],"CNS,":[32,264,307],"Leukemia,":[33,262,305],"Colon,":[34],"and":[35,92,137,156,214,266,300,309,320],"Cervical":[36],"Cancer.":[37,268],"Early":[38],"detection":[39],"cancer":[41,53,87,127,162,244,257],"can":[42,63,321],"decrease":[43],"death":[45,61,73],"toll.":[46],"study,":[50],"if":[51],"identified":[55],"its":[57],"early":[58],"stage,":[59],"rate":[62],"be":[64],"reduced":[65],"~85%.":[67],"In":[68],"order":[69],"reduce":[71],"toll,":[74],"machine":[75],"learning":[76],"(ML)":[77],"emerges":[78,121],"as":[79,105,122,173,219],"significant":[81],"solution.":[82],"When":[83],"it":[84,106],"comes":[85],"research":[88],"with":[89,130],"ML,":[90],"biopsy":[91,100],"microarray":[93,119,131,153,198,258],"data":[94,101,120,132,154,199],"come":[95],"into":[96],"front.":[98],"less":[103],"useful":[104],"excludes":[107],"patient\u2019s":[109],"genetic":[110,116],"information.":[111],"However,":[112],"due":[113],"information,":[117],"solution":[124],"detecting":[126],"disease.":[128],"Dealing":[129],"also":[133],"has":[134],"some":[135],"consequences,":[136],"high":[138],"dimensionality":[139],"one":[141],"them.":[143],"This":[144],"article":[145],"reports":[146],"an":[147,158,240],"ML-based":[148,203],"ensemble":[149,230,241],"model":[150,160,166,242,249,275,293],"tackle":[152],"issues":[155],"provide":[157],"effective":[159],"detection.":[163],"reported":[165],"uses":[167],"Minimum":[168],"Redundancy":[169],"Maximum":[170],"Relevance":[171],"(MRMR)":[172],"feature":[175],"selection":[176],"algorithm.":[177],"Whale":[179],"Optimization":[180],"Algorithm":[181],"(WOA)":[182],"implemented":[184],"featured":[187],"dataset":[188],"select":[190],"optimistic":[192],"number":[193],"features":[195],"without":[196],"affecting":[197],"relevance.":[200],"Then,":[201],"four":[202],"classification":[204],"models,":[205],"including":[206,260,283],"Support":[207],"Vector":[208],"Machine,":[209],"Decision":[210],"Tree,":[211],"Multi-Layer":[212],"Perceptron,":[213],"Random":[215],"Forest,":[216],"are":[217],"applied":[218,233],"base":[221],"learners":[222],"make":[224],"initial":[225,236],"predictions.":[226],"Finally,":[227,269],"voting":[229],"technique":[231],"prediction":[237],"develop":[239],"prediction.":[245],"proposed":[247,274],"En-MinWhale":[248,292],"evaluated":[251,277],"over":[252],"six":[253],"different":[254],"datasets,":[259,312],"Ovarian,":[263,306],"Colon":[267,310],"performance":[271],"using":[278],"11":[279],"various":[280],"evaluative":[281],"parameters,":[282],"accuracy,":[284],"precision,":[285],"specificity,":[286],"sensitivity,":[287],"F-\u03b2":[288],"score,":[289],"etc.":[290],"shows":[294],"94.09%,":[295],"95.83%,":[296],"94.86%,":[297],"95.00%,":[298],"94.85%,":[299],"96.77%":[301],"accuracy":[302],"respectively,":[313],"that":[314],"outperforms":[315],"other":[316],"considered":[317],"hybrid":[318],"models":[319],"help":[322],"out":[323],"physicians":[325],"in":[326],"diagnosis.":[328]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":58},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":5}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}
