{"id":"https://openalex.org/W4387970428","doi":"https://doi.org/10.1109/iicaiet59451.2023.10291820","title":"Enhancing Cancer Classification Through the Development of a Fuzzy Gene Selection-Wrapper Plus Method","display_name":"Enhancing Cancer Classification Through the Development of a Fuzzy Gene Selection-Wrapper Plus Method","publication_year":2023,"publication_date":"2023-09-12","ids":{"openalex":"https://openalex.org/W4387970428","doi":"https://doi.org/10.1109/iicaiet59451.2023.10291820"},"language":"en","primary_location":{"id":"doi:10.1109/iicaiet59451.2023.10291820","doi":"https://doi.org/10.1109/iicaiet59451.2023.10291820","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iicaiet59451.2023.10291820","pdf_url":null,"source":{"id":"https://openalex.org/S4363608273","display_name":"IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025746154","display_name":"Mahmood Khalsan","orcid":"https://orcid.org/0000-0003-0398-5880","observed_orcids":["https://orcid.org/0000-0003-0398-5880"]},"institutions":[{"id":"https://openalex.org/I166455938","display_name":"University of Babylon","ror":"https://ror.org/0170edc15","country_code":"IQ","type":"education","lineage":["https://openalex.org/I166455938"]},{"id":"https://openalex.org/I35870678","display_name":"University of Northampton","ror":"https://ror.org/04jp2hx10","country_code":"GB","type":"education","lineage":["https://openalex.org/I35870678"]}],"countries":["GB","IQ"],"is_corresponding":false,"raw_author_name":"Mahmood Khalsan","raw_affiliation_strings":["The University of Northampton,Advanced Technology Research Group, Faculty of Arts, Science, and Technology,UK","Advanced Technology Research Group, Faculty of Arts, Science, and Technology, The University of Northampton, UK","Computer Science Department, College of Information Technology, The University of Babylon, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Northampton,Advanced Technology Research Group, Faculty of Arts, Science, and Technology,UK","institution_ids":["https://openalex.org/I35870678"]},{"raw_affiliation_string":"Advanced Technology Research Group, Faculty of Arts, Science, and Technology, The University of Northampton, UK","institution_ids":["https://openalex.org/I35870678"]},{"raw_affiliation_string":"Computer Science Department, College of Information Technology, The University of Babylon, Iraq","institution_ids":["https://openalex.org/I166455938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101598888","display_name":"Mu Mu","orcid":"https://orcid.org/0000-0003-1931-7959","observed_orcids":["https://orcid.org/0000-0003-1931-7959"]},"institutions":[{"id":"https://openalex.org/I35870678","display_name":"University of Northampton","ror":"https://ror.org/04jp2hx10","country_code":"GB","type":"education","lineage":["https://openalex.org/I35870678"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mu Mu","raw_affiliation_strings":["The University of Northampton,Advanced Technology Research Group, Faculty of Arts, Science, and Technology,UK","Advanced Technology Research Group, Faculty of Arts, Science, and Technology, The University of Northampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Northampton,Advanced Technology Research Group, Faculty of Arts, Science, and Technology,UK","institution_ids":["https://openalex.org/I35870678"]},{"raw_affiliation_string":"Advanced Technology Research Group, Faculty of Arts, Science, and Technology, The University of Northampton, UK","institution_ids":["https://openalex.org/I35870678"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062494803","display_name":"Eman S. Al-Shamery","orcid":"https://orcid.org/0000-0002-3138-7629","observed_orcids":["https://orcid.org/0000-0002-3138-7629"]},"institutions":[{"id":"https://openalex.org/I166455938","display_name":"University of Babylon","ror":"https://ror.org/0170edc15","country_code":"IQ","type":"education","lineage":["https://openalex.org/I166455938"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Eman Salih Al-shamery","raw_affiliation_strings":["College of Information Technology, The University of Babylon,Computer Science Department,Iraq","Computer Science Department, College of Information Technology, The University of Babylon, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Technology, The University of Babylon,Computer Science Department,Iraq","institution_ids":["https://openalex.org/I166455938"]},{"raw_affiliation_string":"Computer Science Department, College of Information Technology, The University of Babylon, Iraq","institution_ids":["https://openalex.org/I166455938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032870666","display_name":"Lee Richard Machado","orcid":"https://orcid.org/0000-0001-7974-2178","observed_orcids":["https://orcid.org/0000-0001-7974-2178"]},"institutions":[{"id":"https://openalex.org/I35870678","display_name":"University of Northampton","ror":"https://ror.org/04jp2hx10","country_code":"GB","type":"education","lineage":["https://openalex.org/I35870678"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lee Machado","raw_affiliation_strings":["The University of Northampton,Centre for Physical Activity and Life Science, Faculty of Arts, Science, and Technology,UK","Centre for Physical Activity and Life Science, Faculty of Arts, Science, and Technology, The University of Northampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Northampton,Centre for Physical Activity and Life Science, Faculty of Arts, Science, and Technology,UK","institution_ids":["https://openalex.org/I35870678"]},{"raw_affiliation_string":"Centre for Physical Activity and Life Science, Faculty of Arts, Science, and Technology, The University of Northampton, UK","institution_ids":["https://openalex.org/I35870678"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035218478","display_name":"Michael Opoku Agyeman","orcid":"https://orcid.org/0000-0002-3734-4451","observed_orcids":["https://orcid.org/0000-0002-3734-4451"]},"institutions":[{"id":"https://openalex.org/I35870678","display_name":"University of Northampton","ror":"https://ror.org/04jp2hx10","country_code":"GB","type":"education","lineage":["https://openalex.org/I35870678"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Opoku Agyeman","raw_affiliation_strings":["The University of Northampton,Advanced Technology Research Group, Faculty of Arts, Science, and Technology,UK","Advanced Technology Research Group, Faculty of Arts, Science, and Technology, The University of Northampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Northampton,Advanced Technology Research Group, Faculty of Arts, Science, and Technology,UK","institution_ids":["https://openalex.org/I35870678"]},{"raw_affiliation_string":"Advanced Technology Research Group, Faculty of Arts, Science, and Technology, The University of Northampton, UK","institution_ids":["https://openalex.org/I35870678"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386824","display_name":"Suraj Ajit","orcid":"https://orcid.org/0000-0001-7603-570X","observed_orcids":["https://orcid.org/0000-0001-7603-570X"]},"institutions":[{"id":"https://openalex.org/I35870678","display_name":"University of Northampton","ror":"https://ror.org/04jp2hx10","country_code":"GB","type":"education","lineage":["https://openalex.org/I35870678"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Suraj Ajit","raw_affiliation_strings":["The University of Northampton,Advanced Technology Research Group, Faculty of Arts, Science, and Technology,UK","Advanced Technology Research Group, Faculty of Arts, Science, and Technology, The University of Northampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Northampton,Advanced Technology Research Group, Faculty of Arts, Science, and Technology,UK","institution_ids":["https://openalex.org/I35870678"]},{"raw_affiliation_string":"Advanced Technology Research Group, Faculty of Arts, Science, and Technology, The University of Northampton, UK","institution_ids":["https://openalex.org/I35870678"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.505,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91659464,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":1.0,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0,"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/T10183","display_name":"Breast Cancer Treatment Studies","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/cancer-classification","display_name":"cancer classification","score":0.9879999756813049},{"id":"https://openalex.org/keywords/gene-selection","display_name":"gene selection","score":0.9179999828338623},{"id":"https://openalex.org/keywords/wrapper-feature-selection","display_name":"wrapper-based feature selection","score":0.8320000171661377},{"id":"https://openalex.org/keywords/gene-expression-data","display_name":"gene expression data","score":0.8539999723434448},{"id":"https://openalex.org/keywords/high-dimensional-data","display_name":"high-dimensional data","score":0.8339999914169312},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.9559999704360962},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.9459999799728394},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.5580000281333923}],"concepts":[{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.6693776845932007},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6400107145309448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6133521199226379},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5853562355041504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5823659896850586},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5472074747085571},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5446138381958008},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5134433507919312},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4904904067516327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48865464329719543},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42812833189964294},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.29929059743881226},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2590668797492981},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15631794929504395},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.11319541931152344},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.06606829166412354},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iicaiet59451.2023.10291820","doi":"https://doi.org/10.1109/iicaiet59451.2023.10291820","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iicaiet59451.2023.10291820","pdf_url":null,"source":{"id":"https://openalex.org/S4363608273","display_name":"IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.46810001134872437}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2020541351","https://openalex.org/W2077092210","https://openalex.org/W2118258530","https://openalex.org/W2158485828","https://openalex.org/W2289863546","https://openalex.org/W2346848267","https://openalex.org/W2791756735","https://openalex.org/W2803520432","https://openalex.org/W2916009910","https://openalex.org/W2952429360","https://openalex.org/W2955141036","https://openalex.org/W3003663164","https://openalex.org/W3022907945","https://openalex.org/W3041154692","https://openalex.org/W3112459541","https://openalex.org/W4210598545","https://openalex.org/W4213356996","https://openalex.org/W4285278337","https://openalex.org/W4312448493","https://openalex.org/W4376122455"],"related_works":["https://openalex.org/W4376122455","https://openalex.org/W4387717477","https://openalex.org/W7143263097","https://openalex.org/W4395027720","https://openalex.org/W2173893780","https://openalex.org/W2560547932","https://openalex.org/W4390540660","https://openalex.org/W2058227600","https://openalex.org/W2067214434","https://openalex.org/W3186772121"],"abstract_inverted_index":{"Deep":[0],"Learning":[1],"(DL)":[2],"approaches":[3],"have":[4],"made":[5],"sub-stantial":[6],"advances":[7],"in":[8,12,15,140],"developing":[9],"classification":[10,29,84],"models":[11],"most":[13,72],"disciplines,":[14],"terms":[16],"of":[17,36,39,51,57,78,82,88,100,131],"both":[18],"accuracy":[19,138],"and":[20,53,85,102,149],"speed.":[21],"However,":[22],"analyzing":[23],"gene":[24,64,119],"expression":[25],"data":[26],"for":[27,112,127],"cancer":[28,83],"remains":[30],"challenging":[31],"due":[32],"to":[33,69],"the":[34,37,71,76,80,86,89,98,124,129],"nature":[35],"complexity":[38,81],"available":[40],"datasets,":[41],"which":[42],"are":[43,109],"characterized":[44],"by":[45,96],"high":[46],"dimensionality":[47,87],"(a":[48],"small":[49],"number":[50,56,99,130],"samples":[52],"a":[54,61],"large":[55],"features).":[58],"We":[59],"developed":[60],"new":[62],"fuzzy":[63,118],"selection":[65,120],"wrapper":[66,135],"plus":[67],"(FGSWP)":[68],"select":[70],"significant":[73],"genes":[74,101,132],"with":[75,114],"goal":[77],"reducing":[79,128],"datasets.":[90],"FGSWP":[91,148],"has":[92],"shown":[93],"its":[94],"efficacy":[95],"lowering":[97],"enhancing":[103],"classifier":[104],"model":[105],"performance.":[106],"Wrapper":[107],"techniques":[108],"not":[110],"suitable":[111],"use":[113],"high-dimensional":[115],"data,":[116],"hence":[117],"is":[121],"used":[122,143],"as":[123],"initial":[125],"phase":[126],"before":[133],"utilizing":[134],"techniques.":[136],"The":[137],"attained":[139],"all":[141],"datasets":[142],"ranged":[144],"from${85.3{\\%}}$to":[145],"99.3%":[146],"when":[147],"Multilayer":[150],"Perceptron":[151],"(MLP)":[152],"were":[153],"employed":[154],"together.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-10-28T00:00:00"}