{"id":"https://openalex.org/W3115240385","doi":"https://doi.org/10.3233/ida-194687","title":"Parameter evolution of the classifiers for disease diagnosis with offline data-driven hybrid systems","display_name":"Parameter evolution of the classifiers for disease diagnosis with offline data-driven hybrid systems","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3115240385","doi":"https://doi.org/10.3233/ida-194687","mag":"3115240385"},"language":"en","primary_location":{"id":"doi:10.3233/ida-194687","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-194687","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/A5086446503","display_name":"Madhusudana Rao Nalluri","orcid":"https://orcid.org/0000-0002-5315-1932"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Madhu Sudana Rao Nalluri","raw_affiliation_strings":["Department of Computer Science and Engineering, School of Engineering, Amrita VishwaVidyapeetham, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, School of Engineering, Amrita VishwaVidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026550770","display_name":"K. Kannan","orcid":"https://orcid.org/0000-0002-8837-3324"},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kannan K","raw_affiliation_strings":["Department of Mathematics, SASTRA Deemed to be University, Thanjavur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, SASTRA Deemed to be University, Thanjavur, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003491781","display_name":"Xiao\u2010Zhi Gao","orcid":"https://orcid.org/0000-0002-0078-5675"},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Xiao-Zhi Gao","raw_affiliation_strings":["School of Computing, University of Eastern Finland, Kuopio, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Eastern Finland, Kuopio, Finland","institution_ids":["https://openalex.org/I175532246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005290730","display_name":"V. Swaminathan","orcid":null},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swaminathan V","raw_affiliation_strings":["Discrete Mathematics Laboratory, SRC, SASTRA Deemed to be University, Thanjavur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Discrete Mathematics Laboratory, SRC, SASTRA Deemed to be University, Thanjavur, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011943818","display_name":"Diptendu Sinha Roy","orcid":"https://orcid.org/0000-0001-9731-2534"},"institutions":[{"id":"https://openalex.org/I9523339","display_name":"National Institute of Technology Meghalaya","ror":"https://ror.org/020vd6n84","country_code":"IN","type":"education","lineage":["https://openalex.org/I9523339"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Diptendu Sinha Roy","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology Meghalaya, Meghalaya, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology Meghalaya, Meghalaya, India","institution_ids":["https://openalex.org/I9523339"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086446503"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.3911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70328573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"24","issue":"6","first_page":"1365","last_page":"1384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.998199999332428,"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":0.998199999332428,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9937000274658203,"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":0.96670001745224,"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":0.6943026781082153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6925075054168701},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6208972930908203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6175484657287598},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.5299666523933411},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44315794110298157},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.42531290650367737},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.3482162356376648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3250071406364441},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32118529081344604}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6943026781082153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6925075054168701},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6208972930908203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6175484657287598},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.5299666523933411},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44315794110298157},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.42531290650367737},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.3482162356376648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3250071406364441},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32118529081344604},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-194687","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-194687","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W190901438","https://openalex.org/W838718868","https://openalex.org/W1482057644","https://openalex.org/W1904483946","https://openalex.org/W1905990843","https://openalex.org/W1963703602","https://openalex.org/W1977040034","https://openalex.org/W1981182191","https://openalex.org/W2007999626","https://openalex.org/W2008322417","https://openalex.org/W2010583686","https://openalex.org/W2015737168","https://openalex.org/W2025148441","https://openalex.org/W2027596360","https://openalex.org/W2032991527","https://openalex.org/W2035295192","https://openalex.org/W2042802301","https://openalex.org/W2048438306","https://openalex.org/W2065887373","https://openalex.org/W2072613728","https://openalex.org/W2077997370","https://openalex.org/W2082759946","https://openalex.org/W2091469633","https://openalex.org/W2095554003","https://openalex.org/W2096574974","https://openalex.org/W2100120684","https://openalex.org/W2118585731","https://openalex.org/W2119821739","https://openalex.org/W2125993116","https://openalex.org/W2139224857","https://openalex.org/W2158698691","https://openalex.org/W2161775914","https://openalex.org/W2163598528","https://openalex.org/W2165522426","https://openalex.org/W2174756220","https://openalex.org/W2204950599","https://openalex.org/W2206569268","https://openalex.org/W2232748179","https://openalex.org/W2234984784","https://openalex.org/W2264375300","https://openalex.org/W2292274018","https://openalex.org/W2294333872","https://openalex.org/W2310231101","https://openalex.org/W2310257988","https://openalex.org/W2504264036","https://openalex.org/W4239510810","https://openalex.org/W6607806164","https://openalex.org/W6677656871","https://openalex.org/W6683672933","https://openalex.org/W6684327724"],"related_works":["https://openalex.org/W2388864896","https://openalex.org/W2407804800","https://openalex.org/W2117265009","https://openalex.org/W2913388591","https://openalex.org/W1995521197","https://openalex.org/W2084961599","https://openalex.org/W2953702789","https://openalex.org/W108062576","https://openalex.org/W354631666","https://openalex.org/W2128012032"],"abstract_inverted_index":{"Automatic":[0],"disease":[1,37,83],"diagnosis":[2],"is,":[3],"in":[4,113],"essence,":[5],"a":[6,44],"classification":[7,120],"problem":[8],"where":[9],"the":[10,32,57,103,107,110,135,138],"classifier":[11,41,55,59],"has":[12],"to":[13,81,133],"be":[14],"trained":[15],"based":[16,76],"on":[17,23],"patients\u2019":[18],"datasets":[19,85],"and":[20,39,60,73,102,124],"not":[21],"entirely":[22],"doctors\u2019":[24],"expert":[25],"knowledge.":[26],"In":[27,87],"this":[28],"paper,":[29],"we":[30],"present":[31],"design":[33],"of":[34,109,115,137],"such":[35,118],"data-driven":[36,95],"classifiers":[38],"fine-tuning":[40],"performance":[42],"by":[43],"multi-objective":[45],"evolutionary":[46,62],"algorithm.":[47],"We":[48],"have":[49,129],"used":[50],"sequential":[51],"minimal":[52],"optimization":[53],"(SMO)":[54],"as":[56,119],"base":[58],"three":[61],"algorithms":[63],"namely":[64],"Cat":[65],"Swarm":[66],"Optimization":[67,71,79],"(CSO),":[68],"Invasive":[69,77],"Weed":[70,78],"(IWO)":[72],"Eagle":[74],"Search":[75],"(ESIWO)":[80],"diagnose":[82],"from":[84],"available.":[86],"that":[88],"sense,":[89],"our":[90],"approach":[91,96],"is":[92],"an":[93],"offline":[94],"with":[97],"18":[98],"benchmark":[99],"medical":[100],"datasets,":[101],"obtained":[104,139],"results":[105],"demonstrate":[106],"superiority":[108],"proposed":[111],"diagnoses":[112],"terms":[114],"multiple":[116],"objectives":[117],"Prediction":[121],"accuracy,":[122],"Sensitivity,":[123],"Specificity.":[125],"Relevant":[126],"statistical":[127],"tests":[128],"been":[130],"carried":[131],"out":[132],"substantiate":[134],"cogence":[136],"results.":[140]},"counts_by_year":[{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}