{"id":"https://openalex.org/W4386261802","doi":"https://doi.org/10.1109/access.2023.3309732","title":"A New Multi-Class Rebalancing Framework for Imbalance Medical Data","display_name":"A New Multi-Class Rebalancing Framework for Imbalance Medical Data","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386261802","doi":"https://doi.org/10.1109/access.2023.3309732"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3309732","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3309732","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10233687.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/ielx7/6287639/6514899/10233687.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067599258","display_name":"Jafhate Edward","orcid":"https://orcid.org/0000-0002-7033-5426"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]},{"id":"https://openalex.org/I4210138650","display_name":"Universiti Teknologi MARA System","ror":"https://ror.org/030847t23","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210138650"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Jafhate Edward","raw_affiliation_strings":["College of Computing, Informatics and Mathematics, MARA University of Technology, Shah Alam, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"College of Computing, Informatics and Mathematics, MARA University of Technology, Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I4210138650","https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021691921","display_name":"Marshima Mohd Rosli","orcid":"https://orcid.org/0000-0002-7660-2126"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]},{"id":"https://openalex.org/I4210138650","display_name":"Universiti Teknologi MARA System","ror":"https://ror.org/030847t23","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210138650"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Marshima Mohd Rosli","raw_affiliation_strings":["College of Computing, Informatics and Mathematics, MARA University of Technology, Shah Alam, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"College of Computing, Informatics and Mathematics, MARA University of Technology, Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I4210138650","https://openalex.org/I82724352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088073066","display_name":"Ali Seman","orcid":"https://orcid.org/0000-0003-2630-2800"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]},{"id":"https://openalex.org/I4210138650","display_name":"Universiti Teknologi MARA System","ror":"https://ror.org/030847t23","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210138650"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ali Seman","raw_affiliation_strings":["College of Computing, Informatics and Mathematics, MARA University of Technology, Shah Alam, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"College of Computing, Informatics and Mathematics, MARA University of Technology, Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I4210138650","https://openalex.org/I82724352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067599258"],"corresponding_institution_ids":["https://openalex.org/I4210138650","https://openalex.org/I82724352"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.4846,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94115855,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"92857","last_page":"92874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9994999766349792,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9994999766349792,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9768999814987183,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7530027627944946},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.7235944867134094},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6699848175048828},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6073322892189026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.605224072933197},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5666872262954712},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.5152883529663086},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5077110528945923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5006434917449951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45662721991539},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4202570617198944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530027627944946},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.7235944867134094},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6699848175048828},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6073322892189026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.605224072933197},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5666872262954712},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.5152883529663086},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5077110528945923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5006434917449951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45662721991539},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4202570617198944},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3309732","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3309732","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10233687.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:dc06b74c39ab4d159cbc39e83ef6fc70","is_oa":true,"landing_page_url":"https://doaj.org/article/dc06b74c39ab4d159cbc39e83ef6fc70","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":"IEEE Access, Vol 11, Pp 92857-92874 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3309732","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3309732","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10233687.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":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386261802.pdf","grobid_xml":"https://content.openalex.org/works/W4386261802.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W8248617","https://openalex.org/W114669676","https://openalex.org/W169052826","https://openalex.org/W643606810","https://openalex.org/W1484011530","https://openalex.org/W1991181258","https://openalex.org/W1999466943","https://openalex.org/W2024223694","https://openalex.org/W2029869759","https://openalex.org/W2030391296","https://openalex.org/W2100766723","https://openalex.org/W2135493362","https://openalex.org/W2143426320","https://openalex.org/W2146619110","https://openalex.org/W2151356078","https://openalex.org/W2204421509","https://openalex.org/W2234984784","https://openalex.org/W2294246171","https://openalex.org/W2334028018","https://openalex.org/W2372174662","https://openalex.org/W2479668135","https://openalex.org/W2757389364","https://openalex.org/W2794124609","https://openalex.org/W2903896358","https://openalex.org/W2908362978","https://openalex.org/W2911964244","https://openalex.org/W2913240367","https://openalex.org/W2923586500","https://openalex.org/W2962826307","https://openalex.org/W2972785004","https://openalex.org/W2990651761","https://openalex.org/W2997411286","https://openalex.org/W2997919088","https://openalex.org/W3006078283","https://openalex.org/W3006300626","https://openalex.org/W3009384997","https://openalex.org/W3047276250","https://openalex.org/W3112212319","https://openalex.org/W3114736863","https://openalex.org/W3137546229","https://openalex.org/W3145182840","https://openalex.org/W3165081806","https://openalex.org/W3183198325","https://openalex.org/W3201901148","https://openalex.org/W3206048862","https://openalex.org/W3210203749","https://openalex.org/W3212971488","https://openalex.org/W3217515195","https://openalex.org/W4205754593","https://openalex.org/W4243367342","https://openalex.org/W4252684946","https://openalex.org/W4287689466","https://openalex.org/W6606879723","https://openalex.org/W6781905506","https://openalex.org/W6788151608"],"related_works":["https://openalex.org/W2109073422","https://openalex.org/W2887783772","https://openalex.org/W2101754595","https://openalex.org/W2534887053","https://openalex.org/W2026172757","https://openalex.org/W4249381695","https://openalex.org/W4389292014","https://openalex.org/W2394059563","https://openalex.org/W2017942469","https://openalex.org/W80466363"],"abstract_inverted_index":{"Class":[0],"imbalance":[1,230],"exists":[2],"in":[3,17,23,201],"many":[4],"data":[5,12,90],"domains,":[6,56],"posing":[7],"numerous":[8],"challenges":[9],"to":[10,68,98,139,222,225],"the":[11,32,66,85,100,140,163,218,228],"research":[13],"community.":[14],"Medical":[15],"datasets,":[16,176],"most":[18,29],"cases":[19],"are":[20,134],"predominantly":[21],"imbalanced":[22,88,101,171,175],"nature.":[24],"Through":[25],"tackling":[26],"multi-class":[27,229],"issues,":[28],"researchers":[30],"preferred":[31],"conventional":[33],"method":[34,47,107],"of":[35,87,111,142,162,181,196,203],"decomposing":[36],"it":[37],"into":[38],"binary":[39],"classes":[40,67],"for":[41,51,84,126,128,158],"a":[42,81,104,109],"more":[43],"convenient":[44],"solution.":[45],"This":[46],"is":[48],"not":[49],"applicable":[50],"solving":[52],"sensitive":[53],"and":[54,72,94,116,121,152,199,209],"crucial":[55],"such":[57],"as":[58],"medical":[59,62,89],"data.":[60],"Classifying":[61],"datasets":[63],"require":[64],"all":[65],"retain":[69],"their":[70],"form":[71],"maintain":[73],"clinical":[74],"validity.":[75],"In":[76],"this":[77],"article,":[78],"we":[79],"develop":[80],"rebalancing":[82],"framework":[83,165,172,190,215],"multi-classification":[86],"using":[91,108,173],"SCUT":[92,146],"(SMOTE":[93],"Cluster-based":[95],"Undersampling":[96],"Technique)":[97],"rebalance":[99],"class":[102],"distribution,":[103],"feature":[105],"selection":[106,157],"combination":[110],"SHapley":[112],"Additive":[113],"exPlanations":[114],"(SHAP)":[115],"Recursive":[117],"Feature":[118],"Elimination":[119],"(RFE),":[120],"DES-MI":[122],"(Dynamic":[123],"Ensemble":[124],"Selection":[125],"multi-class)":[127],"improved":[129],"multi":[130],"classification":[131],"performance.":[132],"There":[133],"two":[135,149],"novelties":[136],"that":[137,187],"contributes":[138],"performance":[141,161,195],"our":[143,153,188],"framework:":[144],"improvised":[145],"by":[147],"implementing":[148],"clustering":[150],"algorithms,":[151],"proposed":[154,164,189],"pool":[155],"classifier":[156],"DES-MI.":[159],"The":[160,183],"was":[166],"compared":[167],"with":[168,178,193],"other":[169],"state-of-the-art":[170],"eight":[174],"each":[177],"varying":[179],"degrees":[180],"imbalance.":[182],"experimental":[184],"results":[185],"indicate":[186],"performed":[191],"better":[192],"average":[194],"81.77%,":[197],"73.57%,":[198],"75.87%":[200],"terms":[202],"Macro":[204,210],"Average":[205,211],"accuracy,":[206],"extended":[207],"G-mean,":[208],"AUC,":[212],"respectively.":[213],"Our":[214],"drastically":[216],"increases":[217],"overall":[219],"performances,":[220],"owing":[221],"its":[223],"ability":[224],"significantly":[226],"handles":[227],"problem.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}
