{"id":"https://openalex.org/W4408697762","doi":"https://doi.org/10.1186/s40537-025-01116-7","title":"Kolmogorov-Arnold networks guided whale optimization algorithm for feature selection in medical datasets","display_name":"Kolmogorov-Arnold networks guided whale optimization algorithm for feature selection in medical datasets","publication_year":2025,"publication_date":"2025-03-21","ids":{"openalex":"https://openalex.org/W4408697762","doi":"https://doi.org/10.1186/s40537-025-01116-7"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-025-01116-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01116-7","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01116-7","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/s40537-025-01116-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070587637","display_name":"Boli Zheng","orcid":"https://orcid.org/0000-0002-7844-909X"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Boli Zheng","raw_affiliation_strings":["Institute of Big Data and Information Technology, Wenzhou University, Wenzhou, 325000, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data and Information Technology, Wenzhou University, Wenzhou, 325000, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419283","display_name":"Yi Chen","orcid":"https://orcid.org/0000-0003-1429-4495"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chen","raw_affiliation_strings":["Institute of Big Data and Information Technology, Wenzhou University, Wenzhou, 325000, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data and Information Technology, Wenzhou University, Wenzhou, 325000, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636443","display_name":"Chaofan Wang","orcid":"https://orcid.org/0000-0002-3186-005X"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaofan Wang","raw_affiliation_strings":["Institute of Big Data and Information Technology, Wenzhou University, Wenzhou, 325000, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data and Information Technology, Wenzhou University, Wenzhou, 325000, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028441474","display_name":"Ali Asghar Heidari","orcid":"https://orcid.org/0000-0001-6938-9948"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Asghar Heidari","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, 1439957131, Iran"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, 1439957131, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602441","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0002-4604-4629"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, 610065, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, 610065, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108933117","display_name":"Huiling Chen","orcid":"https://orcid.org/0009-0008-5398-3748"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiling Chen","raw_affiliation_strings":["Institute of Big Data and Information Technology, Wenzhou University, Wenzhou, 325000, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data and Information Technology, Wenzhou University, Wenzhou, 325000, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051410077","display_name":"Guoxi Liang","orcid":"https://orcid.org/0000-0003-4754-6644"},"institutions":[{"id":"https://openalex.org/I4210144709","display_name":"Wenzhou Polytechnic","ror":"https://ror.org/05h1ry383","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144709"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxi Liang","raw_affiliation_strings":["Department of Artificial Intelligence, Wenzhou Polytechnic, Wenzhou, 325035, China"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Wenzhou Polytechnic, Wenzhou, 325035, China","institution_ids":["https://openalex.org/I4210144709"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5070587637"],"corresponding_institution_ids":["https://openalex.org/I146620803"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":17.2316,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98854565,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9704999923706055,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9704999923706055,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.963100016117096,"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/T10320","display_name":"Neural Networks and Applications","score":0.957099974155426,"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":0.7952753305435181},{"id":"https://openalex.org/keywords/whale","display_name":"Whale","score":0.7781444787979126},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7721308469772339},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.6859204769134521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5292902588844299},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5242422223091125},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5023260116577148},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.46346724033355713},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4298381209373474},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38253647089004517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3655998110771179},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.12879741191864014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11192211508750916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7952753305435181},{"id":"https://openalex.org/C2777704720","wikidata":"https://www.wikidata.org/wiki/Q1865281","display_name":"Whale","level":2,"score":0.7781444787979126},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7721308469772339},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.6859204769134521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5292902588844299},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5242422223091125},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5023260116577148},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.46346724033355713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4298381209373474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38253647089004517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3655998110771179},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.12879741191864014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11192211508750916},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-025-01116-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01116-7","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01116-7","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:0a1c021f41a34c2c90d37c2b5556cfe9","is_oa":true,"landing_page_url":"https://doaj.org/article/0a1c021f41a34c2c90d37c2b5556cfe9","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 1-36 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-025-01116-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01116-7","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01116-7","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":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G5207017274","display_name":null,"funder_award_id":"62076185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408697762.pdf"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W996830848","https://openalex.org/W2082228576","https://openalex.org/W2108028245","https://openalex.org/W2129659619","https://openalex.org/W2132379769","https://openalex.org/W2165466912","https://openalex.org/W2290883490","https://openalex.org/W2767768852","https://openalex.org/W2801960628","https://openalex.org/W2919979744","https://openalex.org/W2963943323","https://openalex.org/W2969575373","https://openalex.org/W2983505720","https://openalex.org/W2990991805","https://openalex.org/W2999529087","https://openalex.org/W3006649997","https://openalex.org/W3013522702","https://openalex.org/W3014974411","https://openalex.org/W3015263729","https://openalex.org/W3034644205","https://openalex.org/W3039234028","https://openalex.org/W3080882303","https://openalex.org/W3108284643","https://openalex.org/W3111039031","https://openalex.org/W3117030766","https://openalex.org/W3135387830","https://openalex.org/W3167354162","https://openalex.org/W3173256495","https://openalex.org/W3189216291","https://openalex.org/W3192885829","https://openalex.org/W3196661916","https://openalex.org/W3199398663","https://openalex.org/W3201305784","https://openalex.org/W4205713982","https://openalex.org/W4206237891","https://openalex.org/W4210844402","https://openalex.org/W4210845242","https://openalex.org/W4220680920","https://openalex.org/W4244096624","https://openalex.org/W4285007828","https://openalex.org/W4288871017","https://openalex.org/W4292608317","https://openalex.org/W4297282411","https://openalex.org/W4297348022","https://openalex.org/W4309192434","https://openalex.org/W4311632513","https://openalex.org/W4313644843","https://openalex.org/W4313655778","https://openalex.org/W4320487090","https://openalex.org/W4322762342","https://openalex.org/W4366393899","https://openalex.org/W4386295742","https://openalex.org/W4386319067","https://openalex.org/W4386507838","https://openalex.org/W4389941007","https://openalex.org/W4391317914","https://openalex.org/W4391449770","https://openalex.org/W4392130001","https://openalex.org/W4392523547","https://openalex.org/W4395449067","https://openalex.org/W4396521256","https://openalex.org/W4396634096","https://openalex.org/W4400134137","https://openalex.org/W4400198199","https://openalex.org/W4401281174","https://openalex.org/W4401733243","https://openalex.org/W4402679381","https://openalex.org/W4403118219","https://openalex.org/W4404433939","https://openalex.org/W6630229306"],"related_works":["https://openalex.org/W4386564352","https://openalex.org/W2952668426","https://openalex.org/W3007853953","https://openalex.org/W4399246920","https://openalex.org/W4392005006","https://openalex.org/W2965460829","https://openalex.org/W3134238053","https://openalex.org/W2884189257","https://openalex.org/W4399181284","https://openalex.org/W4402025934"],"abstract_inverted_index":{"Feature":[0],"selection":[1],"(FS),":[2],"dealing":[3],"with":[4,7],"pathological":[5],"data":[6,133,151],"a":[8,12,101,128,146,209],"high":[9,37],"dimensionality":[10],"and":[11,222],"small":[13],"number":[14,94],"of":[15,62,87,95,104,119,145,149,159,167,178],"samples,":[16],"has":[17,195,223],"always":[18],"been":[19],"quite":[20],"challenging.":[21],"Among":[22],"these,":[23],"wrapper-based":[24,44],"FS":[25,45,108,200,230],"methods":[26,46],"utilizing":[27,40],"evolutionary":[28,66,191],"algorithms":[29,67],"have":[30],"gained":[31],"immense":[32],"popularity":[33],"due":[34],"to":[35,116,174,212],"their":[36],"accuracy.":[38],"Additionally,":[39,107],"surrogate":[41,63,79,90,172,210],"models":[42,64,173],"alongside":[43,65],"can":[47],"help":[48],"save":[49],"time":[50],"by":[51,217],"reducing":[52,110],"the":[53,60,74,78,84,92,117,120,136,143,157,165,176,182,190,218],"need":[54],"for":[55,77,130],"real":[56],"model":[57,80,211],"predictions.":[58],"However,":[59],"use":[61,166],"(EAs)":[68],"presents":[69],"two":[70],"major":[71],"challenges.":[72],"Firstly,":[73],"training":[75,105,121,132,150],"samples":[76],"all":[81],"come":[82],"from":[83],"iterative":[85],"process":[86],"EAs.":[88],"For":[89],"models,":[91],"limited":[93],"iterations":[96],"in":[97,100,155,199,227],"EAs":[98],"results":[99,203],"sparse":[102,179],"amount":[103,148],"samples.":[106],"emphasizes":[109],"feature":[111,160],"quantity,":[112],"which":[113,139],"further":[114],"contributes":[115],"sparsity":[118],"data.":[122],"In":[123],"this":[124],"paper,":[125],"we":[126,163],"propose":[127,164],"method":[129],"constructing":[131],"based":[134],"on":[135],"reliefF":[137],"algorithm,":[138,192],"not":[140],"only":[141],"enables":[142],"acquisition":[144],"large":[147],"but":[152],"also":[153],"helps":[154],"addressing":[156,228],"issue":[158,177],"sparsity.":[161],"Furthermore,":[162],"Kolmogorov-Arnold":[168],"networks":[169],"(KAN)":[170],"as":[171,189,193,208],"address":[175],"features.":[180],"Finally,":[181],"whale":[183],"optimization":[184],"algorithm":[185],"(WOA)":[186],"was":[187],"chosen":[188],"it":[194],"exhibited":[196],"excellent":[197,225],"performance":[198,226],"problems.":[201,231],"Experimental":[202],"indicate":[204],"that":[205],"using":[206],"KAN":[207],"identify":[213],"superior":[214],"individuals":[215],"generated":[216],"WOA":[219],"is":[220],"feasible":[221],"shown":[224],"medical":[229]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}
