{"id":"https://openalex.org/W4294771895","doi":"https://doi.org/10.3233/ida-216050","title":"IMLBoost for intelligent diagnosis with imbalanced medical records","display_name":"IMLBoost for intelligent diagnosis with imbalanced medical records","publication_year":2022,"publication_date":"2022-09-05","ids":{"openalex":"https://openalex.org/W4294771895","doi":"https://doi.org/10.3233/ida-216050"},"language":"en","primary_location":{"id":"doi:10.3233/ida-216050","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-216050","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},"type":"article","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/A5100638104","display_name":"Tongtong Liu","orcid":"https://orcid.org/0009-0008-7649-7291"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongtong Liu","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034166880","display_name":"Xiaofan Chi","orcid":"https://orcid.org/0009-0004-2983-8082"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofan Chi","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010132737","display_name":"Yukun Du","orcid":"https://orcid.org/0000-0003-1261-5638"},"institutions":[{"id":"https://openalex.org/I4210116869","display_name":"Affiliated Hospital of Qingdao University","ror":"https://ror.org/026e9yy16","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210116869"]},{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukun Du","raw_affiliation_strings":["The Affiliated Hospital of Qingdao University Spine Surgery, Qingdao, Shandong, China","E-mail:"],"affiliations":[{"raw_affiliation_string":"The Affiliated Hospital of Qingdao University Spine Surgery, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210116869"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081110905","display_name":"Huan Yang","orcid":"https://orcid.org/0000-0001-5810-0248"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huan Yang","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084062117","display_name":"Yongming Xi","orcid":"https://orcid.org/0000-0002-2921-0699"},"institutions":[{"id":"https://openalex.org/I4210116869","display_name":"Affiliated Hospital of Qingdao University","ror":"https://ror.org/026e9yy16","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210116869"]},{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongming Xi","raw_affiliation_strings":["The Affiliated Hospital of Qingdao University Spine Surgery, Qingdao, Shandong, China","E-mail:"],"affiliations":[{"raw_affiliation_string":"The Affiliated Hospital of Qingdao University Spine Surgery, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210116869"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016717473","display_name":"Jianwei Guo","orcid":"https://orcid.org/0000-0002-3376-1725"},"institutions":[{"id":"https://openalex.org/I4210116869","display_name":"Affiliated Hospital of Qingdao University","ror":"https://ror.org/026e9yy16","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210116869"]},{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Guo","raw_affiliation_strings":["The Affiliated Hospital of Qingdao University Spine Surgery, Qingdao, Shandong, China","E-mail:"],"affiliations":[{"raw_affiliation_string":"The Affiliated Hospital of Qingdao University Spine Surgery, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210116869"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5081110905","https://openalex.org/A5084062117"],"corresponding_institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210116869"],"apc_list":null,"apc_paid":null,"fwci":0.276,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62671951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"26","issue":"5","first_page":"1303","last_page":"1320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9968000054359436,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7252377867698669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6498366594314575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.534711480140686},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5137068033218384},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5081541538238525},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47028282284736633},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.44840410351753235},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4282373785972595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3937883675098419},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34725409746170044},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10585084557533264}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7252377867698669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6498366594314575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.534711480140686},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5137068033218384},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5081541538238525},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47028282284736633},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.44840410351753235},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4282373785972595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3937883675098419},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34725409746170044},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10585084557533264},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-216050","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-216050","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1540007258","https://openalex.org/W1551909886","https://openalex.org/W1563938718","https://openalex.org/W1580049798","https://openalex.org/W1596717185","https://openalex.org/W1960174506","https://openalex.org/W1989684337","https://openalex.org/W2014784356","https://openalex.org/W2040010062","https://openalex.org/W2086184041","https://openalex.org/W2096945460","https://openalex.org/W2109553965","https://openalex.org/W2172000360","https://openalex.org/W2295598076","https://openalex.org/W2296043783","https://openalex.org/W2310231101","https://openalex.org/W2337518838","https://openalex.org/W2440599146","https://openalex.org/W2561675875","https://openalex.org/W2586571469","https://openalex.org/W2603544146","https://openalex.org/W2677710276","https://openalex.org/W2765890301","https://openalex.org/W2773078063","https://openalex.org/W2775447965","https://openalex.org/W2775935607","https://openalex.org/W2780616365","https://openalex.org/W2781292787","https://openalex.org/W2910406387","https://openalex.org/W2910646439","https://openalex.org/W2916028408","https://openalex.org/W2949311145","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W2972760795","https://openalex.org/W2975586814","https://openalex.org/W2988913177","https://openalex.org/W2998216295","https://openalex.org/W3008966649","https://openalex.org/W3012665221","https://openalex.org/W3034143844","https://openalex.org/W3034601242","https://openalex.org/W3038583522","https://openalex.org/W3093911808","https://openalex.org/W3102895271","https://openalex.org/W6600339963","https://openalex.org/W6602870678","https://openalex.org/W6633119224","https://openalex.org/W6634569365","https://openalex.org/W6703189054","https://openalex.org/W6718673162","https://openalex.org/W6736505632","https://openalex.org/W6739838603","https://openalex.org/W6747031421","https://openalex.org/W6763842183","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2003125512","https://openalex.org/W4313488044","https://openalex.org/W1996541855","https://openalex.org/W1987859285","https://openalex.org/W2546942002","https://openalex.org/W2970216048","https://openalex.org/W3195168932","https://openalex.org/W2382607599","https://openalex.org/W2543725295","https://openalex.org/W2897195263"],"abstract_inverted_index":{"Class":[0],"imbalance":[1],"of":[2,31,55,88,113,136,154],"medical":[3,50,130],"records":[4],"is":[5,44,73],"a":[6,37],"critical":[7,81],"challenge":[8],"for":[9],"disease":[10],"classification":[11,29,144,150],"in":[12,57,152],"intelligent":[13],"diagnosis.":[14],"Existing":[15],"machine":[16],"learning":[17],"algorithms":[18],"usually":[19],"assign":[20,76],"equal":[21],"weights":[22],"to":[23,46,75,79,109],"all":[24],"classes,":[25],"which":[26,116],"may":[27],"reduce":[28],"accuracy":[30],"imbalanced":[32,49,129],"records.":[33],"In":[34,101],"this":[35],"paper,":[36],"new":[38],"Imbalance":[39],"Lessened":[40],"Boosting":[41],"(IMLBoost)":[42],"algorithm":[43],"proposed":[45,74,138],"better":[47],"classify":[48],"records,":[51],"highlighting":[52],"the":[53,89,97,114,121,134,137,149],"contribution":[54],"samples":[56],"minor":[58],"classes":[59],"as":[60,62],"well":[61],"hard":[63],"and":[64,85,94,157],"boundary":[65],"samples.":[66,82],"A":[67],"tailored":[68],"Cost-Fitting":[69],"Loss":[70],"(CFL)":[71],"function":[72],"befitting":[77],"costs":[78],"these":[80],"The":[83],"first":[84],"second":[86],"derivations":[87],"CFL":[90],"are":[91,107],"then":[92],"derived":[93],"embedded":[95],"into":[96],"classical":[98],"XGBoost":[99],"framework.":[100],"addition,":[102],"some":[103],"feature":[104],"analysis":[105],"skills":[106],"utilized":[108],"further":[110],"improve":[111],"performance":[112,151],"IMLBoost,":[115],"also":[117],"can":[118],"speed":[119],"up":[120],"model":[122],"training.":[123],"Experimental":[124],"results":[125],"on":[126],"five":[127],"UCI":[128],"datasets":[131],"have":[132],"demonstrated":[133],"effectiveness":[135],"algorithm.":[139],"Compared":[140],"with":[141],"other":[142],"existing":[143],"methods,":[145],"IMLBoost":[146],"has":[147],"improved":[148],"terms":[153],"F1-score,":[155],"G-mean":[156],"AUC.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}