{"id":"https://openalex.org/W3089444333","doi":"https://doi.org/10.3233/idt-190060","title":"An efficient multi-classifier method for differential diagnosis","display_name":"An efficient multi-classifier method for differential diagnosis","publication_year":2020,"publication_date":"2020-08-18","ids":{"openalex":"https://openalex.org/W3089444333","doi":"https://doi.org/10.3233/idt-190060","mag":"3089444333"},"language":"en","primary_location":{"id":"doi:10.3233/idt-190060","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-190060","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"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 Decision Technologies","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/A5054776628","display_name":"Mohammad Mahdi Ershadi","orcid":"https://orcid.org/0000-0002-7409-6469"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammad Mahdi Ershadi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5084024707","display_name":"Abbas Seifi","orcid":"https://orcid.org/0000-0003-2549-2200"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abbas Seifi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5451,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88450321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"14","issue":"3","first_page":"337","last_page":"347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9988999962806702,"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":0.9988999962806702,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9923999905586243,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9905999898910522,"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/classifier","display_name":"Classifier (UML)","score":0.7668112516403198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.713416576385498},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.707497239112854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5992515683174133},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5734764337539673},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5422012805938721},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5252668261528015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.488844096660614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4830085039138794},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4535360336303711},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07965418696403503}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7668112516403198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713416576385498},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.707497239112854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5992515683174133},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5734764337539673},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5422012805938721},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5252668261528015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.488844096660614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4830085039138794},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4535360336303711},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07965418696403503}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/idt-190060","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-190060","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"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 Decision Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1552361477","https://openalex.org/W1669853692","https://openalex.org/W1987859285","https://openalex.org/W2005827916","https://openalex.org/W2013811470","https://openalex.org/W2022947279","https://openalex.org/W2024806819","https://openalex.org/W2030700013","https://openalex.org/W2032210760","https://openalex.org/W2032655680","https://openalex.org/W2038705219","https://openalex.org/W2056855803","https://openalex.org/W2056946993","https://openalex.org/W2062302861","https://openalex.org/W2077307030","https://openalex.org/W2085038509","https://openalex.org/W2115944301","https://openalex.org/W2116309862","https://openalex.org/W2137900839","https://openalex.org/W2140706056","https://openalex.org/W2560920277","https://openalex.org/W2574024311","https://openalex.org/W2607631550","https://openalex.org/W2608319802","https://openalex.org/W2620740922","https://openalex.org/W4244042913","https://openalex.org/W6653692056"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W2531880140","https://openalex.org/W3205213561","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W385273440","https://openalex.org/W4380081032","https://openalex.org/W1598207381"],"abstract_inverted_index":{"There":[0],"are":[1],"many":[2],"useful":[3],"data":[4],"mining":[5],"methods":[6,82,101,107],"for":[7,42,93],"diagnosis":[8,15,45],"of":[9,16,26,34,46,80,129,132],"diseases":[10,48],"and":[11,62,73,89,102,144],"cancers.":[12],"However,":[13],"early":[14],"a":[17,40,67,70],"disease":[18],"or":[19],"cancer":[20],"could":[21],"significantly":[22],"affect":[23],"the":[24,104,130,162],"chance":[25],"patient":[27],"survival":[28],"in":[29,108],"some":[30,113],"cases.":[31],"The":[32,96,137],"objective":[33],"this":[35,117],"study":[36],"is":[37,59],"to":[38,77],"develop":[39],"method":[41],"helping":[43],"accurate":[44],"different":[47],"based":[49,83,111],"on":[50,84,112],"various":[51],"classification":[52,106,151],"methods.":[53,152],"Knowledge":[54],"collection":[55],"from":[56,124],"domain":[57],"experts":[58],"challenging,":[60],"inaccessible":[61],"time-consuming;":[63],"so":[64],"we":[65,119],"design":[66],"multi-classifier":[68,97,139],"using":[69],"dynamic":[71],"classifier":[72],"clustering":[74,100],"selection":[75],"approach":[76],"takes":[78],"advantages":[79],"these":[81],"data.":[85,115],"We":[86],"combine":[87],"Forward-backward":[88],"Principal":[90],"Component":[91],"Analysis":[92],"feature":[94],"reduction.":[95],"evaluates":[98],"three":[99],"ascertains":[103],"best":[105],"each":[109],"cluster":[110],"training":[114],"In":[116],"study,":[118],"use":[120],"ten":[121],"datasets":[122,128],"taken":[123],"Machine":[125],"Learning":[126],"Repository":[127],"University":[131],"California":[133],"at":[134],"Irvine":[135],"(UCI).":[136],"proposed":[138],"improves":[140],"both":[141],"computation":[142],"time":[143],"accuracy":[145,156],"as":[146],"compared":[147],"with":[148,157],"all":[149],"other":[150],"It":[153],"achieves":[154],"maximum":[155],"minimum":[158],"standard":[159],"deviation":[160],"over":[161],"sampled":[163],"datasets.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}