{"id":"https://openalex.org/W7125409434","doi":"https://doi.org/10.1007/s11227-025-08192-9","title":"Improving predictive accuracy in medical datasets using enhanced enzyme action optimizer for feature selection","display_name":"Improving predictive accuracy in medical datasets using enhanced enzyme action optimizer for feature selection","publication_year":2026,"publication_date":"2026-01-22","ids":{"openalex":"https://openalex.org/W7125409434","doi":"https://doi.org/10.1007/s11227-025-08192-9"},"language":"en","primary_location":{"id":"doi:10.1007/s11227-025-08192-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-025-08192-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-025-08192-9.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11227-025-08192-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084410268","display_name":"Ah. E. Hegazy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ah. E. Hegazy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123587122","display_name":"M. A. Makhlouf","orcid":null},"institutions":[{"id":"https://openalex.org/I114794399","display_name":"Suez Canal University","ror":"https://ror.org/02m82p074","country_code":"EG","type":"education","lineage":["https://openalex.org/I114794399"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"M. A. Makhlouf","raw_affiliation_strings":["Department of Information Systems, Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt","institution_ids":["https://openalex.org/I114794399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078840975","display_name":"Omar A. M. Salem","orcid":"https://orcid.org/0000-0003-4443-2684"},"institutions":[{"id":"https://openalex.org/I114794399","display_name":"Suez Canal University","ror":"https://ror.org/02m82p074","country_code":"EG","type":"education","lineage":["https://openalex.org/I114794399"]},{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN","EG"],"is_corresponding":false,"raw_author_name":"Omar A. M. Salem","raw_affiliation_strings":["Department of Information Systems, Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt","School of Computer and Information Engineering, Henan University, Kaifeng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt","institution_ids":["https://openalex.org/I114794399"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123617944","display_name":"B. Hafiz","orcid":null},"institutions":[{"id":"https://openalex.org/I114794399","display_name":"Suez Canal University","ror":"https://ror.org/02m82p074","country_code":"EG","type":"education","lineage":["https://openalex.org/I114794399"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"B. Hafiz","raw_affiliation_strings":["Department of Information Systems, Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt","institution_ids":["https://openalex.org/I114794399"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0553748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"82","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0714000016450882,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0714000016450882,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.06689999997615814,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.050599999725818634,"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/interpretability","display_name":"Interpretability","score":0.6477000117301941},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.57669997215271},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5339999794960022},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.48330000042915344},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.47600001096725464},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4699999988079071},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4230000078678131},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4156999886035919},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.40209999680519104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8664000034332275},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6477000117301941},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.57669997215271},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5339999794960022},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.48330000042915344},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.47600001096725464},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4699999988079071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44690001010894775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4359000027179718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4244999885559082},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4230000078678131},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4156999886035919},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.40209999680519104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.35839998722076416},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.35580000281333923},{"id":"https://openalex.org/C20820323","wikidata":"https://www.wikidata.org/wiki/Q6496514","display_name":"Latin hypercube sampling","level":3,"score":0.3521000146865845},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.34220001101493835},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3181999921798706},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C13670688","wikidata":"https://www.wikidata.org/wiki/Q3500548","display_name":"Space partitioning","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.25540000200271606},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11227-025-08192-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-025-08192-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-025-08192-9.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11227-025-08192-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-025-08192-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-025-08192-9.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F6896549162","display_name":"Suez Canal University","ror":"https://ror.org/02m82p074"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7125409434.pdf","grobid_xml":"https://content.openalex.org/works/W7125409434.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W53564293","https://openalex.org/W323404752","https://openalex.org/W1444952417","https://openalex.org/W1488578987","https://openalex.org/W2017337590","https://openalex.org/W2050399271","https://openalex.org/W2086208228","https://openalex.org/W2151554678","https://openalex.org/W2167101736","https://openalex.org/W2343420905","https://openalex.org/W2531108548","https://openalex.org/W2568283272","https://openalex.org/W2607497240","https://openalex.org/W2767768852","https://openalex.org/W2783899258","https://openalex.org/W2937078632","https://openalex.org/W2977905330","https://openalex.org/W2990991805","https://openalex.org/W3005468664","https://openalex.org/W3015269186","https://openalex.org/W3034644205","https://openalex.org/W3105981160","https://openalex.org/W3126868773","https://openalex.org/W3139218691","https://openalex.org/W3140207169","https://openalex.org/W3173256495","https://openalex.org/W3195963873","https://openalex.org/W3203216484","https://openalex.org/W3208510759","https://openalex.org/W4206558648","https://openalex.org/W4210401277","https://openalex.org/W4225166796","https://openalex.org/W4280585406","https://openalex.org/W4285287874","https://openalex.org/W4285388514","https://openalex.org/W4285602720","https://openalex.org/W4289941892","https://openalex.org/W4303629128","https://openalex.org/W4309087074","https://openalex.org/W4310553653","https://openalex.org/W4313472908","https://openalex.org/W4316042138","https://openalex.org/W4318204734","https://openalex.org/W4321256878","https://openalex.org/W4377101801","https://openalex.org/W4386401323","https://openalex.org/W4387020500","https://openalex.org/W4390887352","https://openalex.org/W4391247400","https://openalex.org/W4391533114","https://openalex.org/W4392400794","https://openalex.org/W4396622158","https://openalex.org/W4399761500","https://openalex.org/W4403439923","https://openalex.org/W4404042258","https://openalex.org/W4404224055","https://openalex.org/W4404615858","https://openalex.org/W4405692682","https://openalex.org/W4407936964","https://openalex.org/W4409126665","https://openalex.org/W4409422857","https://openalex.org/W4412090829","https://openalex.org/W4414298172"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Medical":[1],"datasets":[2,197],"often":[3],"contain":[4],"numerous":[5],"redundant":[6],"or":[7,171],"noisy":[8],"features,":[9],"which":[10],"can":[11,174],"degrade":[12],"classification":[13],"performance":[14,200,243],"and":[15,29,56,82,117,125,155,178,223,255,262,274],"increase":[16],"computational":[17,276],"costs.":[18],"Feature":[19],"selection":[20],"(FS)":[21],"is":[22,134,163,187,244],"therefore":[23],"crucial":[24],"for":[25,54,99,264,272],"improving":[26],"diagnostic":[27],"accuracy":[28,211],"enhancing":[30],"model":[31],"interpretability":[32],"in":[33,59,73],"biomedical":[34,160,196],"applications.":[35],"Although":[36],"the":[37,149,153,156,208,235],"recently":[38],"introduced":[39],"enzyme":[40,95],"action":[41,96],"optimizer":[42,97],"(EAO)":[43],"has":[44],"shown":[45],"strong":[46],"potential":[47],"as":[48],"a":[49,78,118],"metaheuristic":[50],"method,":[51],"its":[52,57,260,270],"effectiveness":[53],"FS":[55,145,192,267],"behavior":[58],"high-dimensional":[60,265],"spaces":[61],"remain":[62],"underexplored.":[63],"Like":[64],"many":[65],"swarm":[66],"intelligence":[67],"(SI)":[68],"algorithms,":[69],"EAO":[70],"faces":[71],"challenges":[72],"maintaining":[74],"population":[75],"diversity,":[76],"achieving":[77],"balanced":[79],"exploration\u2013exploitation":[80],"process":[81],"avoiding":[83],"premature":[84],"convergence.":[85],"To":[86],"address":[87],"these":[88,238],"limitations,":[89],"this":[90],"study":[91],"proposes":[92],"an":[93,138],"enhanced":[94],"(EEAO)":[98],"FS.":[100],"The":[101,185],"method":[102,186],"integrates":[103],"latin":[104],"hypercube":[105],"sampling":[106],"to":[107,113,121,142,148,229],"ensure":[108],"diverse":[109],"initialization,":[110],"refraction":[111],"learning":[112],"enhance":[114],"global":[115,241],"exploration":[116],"crowding-distance":[119],"mechanism":[120],"reduce":[122],"solution":[123],"clustering":[124],"improve":[126],"search":[127],"stability.":[128],"A":[129],"binary":[130],"version":[131],"of":[132,152,159,182,237],"EEAO":[133,206],"further":[135],"developed":[136],"using":[137,168,198],"S-shaped":[139],"transfer":[140],"function":[141],"efficiently":[143],"handle":[144],"tasks.":[146],"Due":[147],"iterative":[150],"nature":[151],"algorithm":[154],"high":[157],"dimensionality":[158],"datasets,":[161],"EEAO-FS":[162],"computationally":[164],"intensive;":[165],"implementing":[166],"it":[167],"parallel,":[169],"distributed":[170],"HPC-enabled":[172],"frameworks":[173],"significantly":[175],"accelerate":[176],"convergence":[177,254],"enable":[179],"scalable":[180,275],"analysis":[181,233],"large":[183],"datasets.":[184],"evaluated":[188],"against":[189],"eight":[190,247],"state-of-the-art":[191],"methods":[193],"on":[194,246],"twenty":[195],"five":[199],"metrics.":[201],"Experimental":[202],"results":[203,258],"show":[204],"that":[205],"achieves":[207],"highest":[209],"average":[210],"(91.85%),":[212],"selects":[213],"substantially":[214],"fewer":[215],"features":[216],"(approximately":[217],"60%":[218],"reduction),":[219],"converges":[220],"more":[221],"consistently":[222],"requires":[224],"less":[225],"execution":[226],"time":[227],"compared":[228],"competing":[230],"methods.":[231],"Statistical":[232],"confirms":[234],"significance":[236],"improvements.":[239],"EEAO\u2019s":[240],"optimization":[242],"validated":[245],"benchmark":[248],"functions,":[249],"showing":[250],"superior":[251],"exploration,":[252],"faster":[253],"robustness.":[256],"These":[257],"demonstrate":[259],"efficiency":[261],"reliability":[263],"medical":[266],"while":[268],"highlighting":[269],"suitability":[271],"high-performance":[273],"frameworks.":[277]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-01-23T00:00:00"}