{"id":"https://openalex.org/W4409037631","doi":"https://doi.org/10.1186/s40537-025-01132-7","title":"Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms","display_name":"Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms","publication_year":2025,"publication_date":"2025-04-01","ids":{"openalex":"https://openalex.org/W4409037631","doi":"https://doi.org/10.1186/s40537-025-01132-7"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-025-01132-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01132-7","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01132-7","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01132-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078028522","display_name":"Palash Sarker","orcid":"https://orcid.org/0000-0003-3376-2346"},"institutions":[{"id":"https://openalex.org/I124386471","display_name":"Khulna University","ror":"https://ror.org/05pny7s12","country_code":"BD","type":"education","lineage":["https://openalex.org/I124386471"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Proshenjit Sarker","raw_affiliation_strings":["ECE Discipline, Khulna University, Khulna, 9208, Bangladesh"],"affiliations":[{"raw_affiliation_string":"ECE Discipline, Khulna University, Khulna, 9208, Bangladesh","institution_ids":["https://openalex.org/I124386471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059829609","display_name":"Amel Ksibi","orcid":"https://orcid.org/0000-0001-6019-5960"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Amel Ksibi","raw_affiliation_strings":["Information Systems Department, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Information Systems Department, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051158911","display_name":"Mona Jamjoom","orcid":"https://orcid.org/0000-0001-9149-2810"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mona M. Jamjoom","raw_affiliation_strings":["Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072199973","display_name":"Kwonhue Choi","orcid":"https://orcid.org/0000-0002-1755-0186"},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwonhue Choi","raw_affiliation_strings":["Department of Information and Communication Engineering, Yeungnam University, 38541, Gyeongsan, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Yeungnam University, 38541, Gyeongsan, South Korea","institution_ids":["https://openalex.org/I55240360"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050166612","display_name":"Abdullah-Al Nahid","orcid":"https://orcid.org/0000-0003-2391-5767"},"institutions":[{"id":"https://openalex.org/I124386471","display_name":"Khulna University","ror":"https://ror.org/05pny7s12","country_code":"BD","type":"education","lineage":["https://openalex.org/I124386471"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Abdullah Al Nahid","raw_affiliation_strings":["ECE Discipline, Khulna University, Khulna, 9208, Bangladesh"],"affiliations":[{"raw_affiliation_string":"ECE Discipline, Khulna University, Khulna, 9208, Bangladesh","institution_ids":["https://openalex.org/I124386471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109727936","display_name":"Md Abdus Samad","orcid":null},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Md Abdus Samad","raw_affiliation_strings":["Department of Information and Communication Engineering, Yeungnam University, 38541, Gyeongsan, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Yeungnam University, 38541, Gyeongsan, South Korea","institution_ids":["https://openalex.org/I55240360"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5078028522"],"corresponding_institution_ids":["https://openalex.org/I124386471"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":16.2185,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98773158,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9986000061035156,"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":0.9986000061035156,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9929999709129333,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/computer-science","display_name":"Computer science","score":0.7333811521530151},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.646115779876709},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.633183479309082},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6177612543106079},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5614352822303772},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5187256932258606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4643222689628601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44769468903541565},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41916656494140625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3425588607788086},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.20120525360107422},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09419357776641846},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08250293135643005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333811521530151},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.646115779876709},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.633183479309082},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6177612543106079},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5614352822303772},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5187256932258606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4643222689628601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44769468903541565},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41916656494140625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3425588607788086},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.20120525360107422},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09419357776641846},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08250293135643005},{"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:10.1186/s40537-025-01132-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01132-7","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01132-7","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:da7a09731fb24981aa9cea9bd2324e47","is_oa":true,"landing_page_url":"https://doaj.org/article/da7a09731fb24981aa9cea9bd2324e47","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":"Journal of Big Data, Vol 12, Iss 1, Pp 1-26 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-025-01132-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01132-7","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01132-7","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.4699999988079071,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409037631.pdf"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W1523429949","https://openalex.org/W1729812787","https://openalex.org/W1741129279","https://openalex.org/W1908118656","https://openalex.org/W1967381766","https://openalex.org/W2005830551","https://openalex.org/W2013355058","https://openalex.org/W2102831150","https://openalex.org/W2105538236","https://openalex.org/W2115546724","https://openalex.org/W2117454704","https://openalex.org/W2145695837","https://openalex.org/W2164822601","https://openalex.org/W2167596697","https://openalex.org/W2172517621","https://openalex.org/W2290883490","https://openalex.org/W2295598076","https://openalex.org/W2626296475","https://openalex.org/W2735994428","https://openalex.org/W2765288370","https://openalex.org/W2782524587","https://openalex.org/W2805076621","https://openalex.org/W2809953311","https://openalex.org/W2810255841","https://openalex.org/W2897826619","https://openalex.org/W2911456677","https://openalex.org/W2914747189","https://openalex.org/W2922096023","https://openalex.org/W2944795014","https://openalex.org/W2947664069","https://openalex.org/W2954876896","https://openalex.org/W2969663831","https://openalex.org/W2971366156","https://openalex.org/W2984048779","https://openalex.org/W2991522674","https://openalex.org/W3010156620","https://openalex.org/W3014628627","https://openalex.org/W3022501647","https://openalex.org/W3049458615","https://openalex.org/W3095850850","https://openalex.org/W3120935156","https://openalex.org/W3127432888","https://openalex.org/W3148432408","https://openalex.org/W3157746199","https://openalex.org/W3159726335","https://openalex.org/W3170851902","https://openalex.org/W3180418887","https://openalex.org/W3208939718","https://openalex.org/W3215058137","https://openalex.org/W4206480638","https://openalex.org/W4206578085","https://openalex.org/W4210845242","https://openalex.org/W4220666146","https://openalex.org/W4295592723","https://openalex.org/W4306768310","https://openalex.org/W4308327194","https://openalex.org/W4316928762","https://openalex.org/W4361223598","https://openalex.org/W4384557702","https://openalex.org/W4386593198","https://openalex.org/W4387764451","https://openalex.org/W4389495228","https://openalex.org/W4391323824","https://openalex.org/W4391466284","https://openalex.org/W4391754217","https://openalex.org/W4391850361","https://openalex.org/W4392763288","https://openalex.org/W4393044095","https://openalex.org/W4394856710","https://openalex.org/W4395084567","https://openalex.org/W4396805571","https://openalex.org/W4399714946","https://openalex.org/W4400134137","https://openalex.org/W4400641408","https://openalex.org/W4401226089","https://openalex.org/W4402208473","https://openalex.org/W4402298731","https://openalex.org/W4402672241","https://openalex.org/W4402943959","https://openalex.org/W4405012365","https://openalex.org/W4406235868","https://openalex.org/W6888930897","https://openalex.org/W6964416151"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2789681586","https://openalex.org/W2794361564","https://openalex.org/W4243392960","https://openalex.org/W3156820950","https://openalex.org/W4232791346","https://openalex.org/W2971069100","https://openalex.org/W2504553392","https://openalex.org/W2331509522","https://openalex.org/W2937748796"],"abstract_inverted_index":{"Breast":[0,60,133],"cancer,":[1],"caused":[2],"by":[3,79],"uncontrolled":[4],"cell":[5],"growth":[6],"in":[7],"milk":[8],"ducts":[9],"or":[10,73],"lobules,":[11],"has":[12],"the":[13,23,59,81,132,140,152,164,181,185,207],"highest":[14,153],"mortality":[15],"rate":[16],"among":[17],"women":[18],"worldwide,":[19],"with":[20,89,180,214],"Asia":[21],"reporting":[22],"most":[24],"deaths.":[25],"Early":[26],"detection":[27,213],"improves":[28],"survival":[29],"rates":[30],"and":[31,97,101,113,123,128,170,194,202],"reduces":[32],"treatment":[33],"costs.":[34],"This":[35,173],"study":[36,117,174],"aims":[37],"to":[38,44,53,69,144],"develop":[39],"a":[40,50,161],"feature":[41,108],"selection-based":[42],"classifier":[43,183],"enhance":[45],"breast":[46,211],"cancer":[47,212],"prediction,":[48],"using":[49,197],"minimal":[51],"dataset":[52,63],"maximize":[54],"performance.":[55,85],"Earlier":[56],"works":[57],"on":[58,131,155],"Cancer":[61,134],"Coimbra":[62,135],"used":[64],"many":[65],"features":[66,82,141,169,216],"but":[67],"failed":[68],"achieve":[70],"high":[71,219],"accuracy":[72],"explain":[74],"misclassifications.":[75],"We":[76],"addressed":[77],"this":[78],"reducing":[80],"while":[83,217],"maintaining":[84,218],"A":[86],"Wrapper":[87],"Model":[88],"Metaheuristic":[90],"Algorithms:":[91],"Whale":[92],"Optimization,":[93],"Bald":[94],"Eagle":[95],"Search,":[96],"Sea":[98],"Lion":[99],"Optimization":[100],"Extreme":[102],"Gradient":[103],"Boost":[104],"Classifier.":[105],"SHAP":[106,146],"explained":[107],"importance":[109],"for":[110,125,209],"both":[111],"overall":[112],"individual":[114],"predictions.":[115,157],"Our":[116],"achieved":[118],"F-scores":[119],"of":[120,167],"97.43%,":[121],"95%,":[122],"94.74%":[124],"SLOA_XGB,":[126],"BESA_XGB,":[127],"WOA_XGB,":[129],"respectively,":[130],"dataset.":[136],"Each":[137],"method":[138],"reduced":[139],"from":[142,177],"9":[143],"4.":[145],"analysis":[147],"identified":[148],"Glucose":[149],"as":[150],"having":[151],"impact":[154],"model":[156],"Additionally,":[158],"we":[159],"found":[160],"link":[162],"between":[163],"mean":[165],"values":[166],"certain":[168],"misclassification":[171],"likelihood.":[172],"analyzed":[175],"data":[176],"116":[178],"subjects,":[179],"SLOA_XGB":[182],"achieving":[184],"best":[186],"performance:":[187],"97.43%":[188],"F-score,":[189],"97.14%":[190,192],"accuracy,":[191],"precision,":[193],"100%":[195],"recall":[196],"only":[198],"Glucose,":[199],"Age,":[200],"Resistin,":[201],"Adiponectin.":[203],"These":[204],"results":[205],"highlight":[206],"potential":[208],"early":[210],"fewer":[215],"predictive":[220],"accuracy.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
