{"id":"https://openalex.org/W3202165952","doi":"https://doi.org/10.3233/jifs-211820","title":"A hybrid machine learning approach of fuzzy-rough-k-nearest neighbor, latent semantic analysis, and ranker search for efficient disease diagnosis","display_name":"A hybrid machine learning approach of fuzzy-rough-k-nearest neighbor, latent semantic analysis, and ranker search for efficient disease diagnosis","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3202165952","doi":"https://doi.org/10.3233/jifs-211820","mag":"3202165952"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-211820","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-211820","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent & Fuzzy Systems","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":null,"display_name":"Sunil Kumar Jha","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sunil Kumar Jha","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013524010","display_name":"Ninoslav Marina","orcid":"https://orcid.org/0000-0003-4862-0199"},"institutions":[{"id":"https://openalex.org/I71965090","display_name":"University of Information Science and Technology St. Paul The Apostle","ror":"https://ror.org/0264mz016","country_code":"MK","type":"education","lineage":["https://openalex.org/I71965090"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Ninoslav Marina","raw_affiliation_strings":["University of Information Science and Technology \u201cSt. Paul the Apostle\u201d, Ohrid, North Macedonia","University of Information Science and Technology \"St. Paul the Apostle\", Ohrid, North Macedonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Information Science and Technology \u201cSt. Paul the Apostle\u201d, Ohrid, North Macedonia","institution_ids":["https://openalex.org/I71965090"]},{"raw_affiliation_string":"University of Information Science and Technology \"St. Paul the Apostle\", Ohrid, North Macedonia","institution_ids":["https://openalex.org/I71965090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630403","display_name":"Jinwei Wang","orcid":"https://orcid.org/0000-0002-9366-5671"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwei Wang","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083574548","display_name":"Zulfiqar Ahmad","orcid":"https://orcid.org/0000-0002-8760-0230"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210089584","display_name":"Institute of Hydrobiology","ror":"https://ror.org/00b4mx203","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210089584"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zulfiqar Ahmad","raw_affiliation_strings":["Department of Environmental Sciences, University of California, Riverside, CA, USA","Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Environmental Sciences, University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210089584"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":1.2859,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85713057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"42","issue":"3","first_page":"2549","last_page":"2563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9975000023841858,"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":0.9975000023841858,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9937999844551086,"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/computer-science","display_name":"Computer science","score":0.7221884727478027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7184606790542603},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5969449281692505},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5567594766616821},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5008735656738281},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4938657879829407},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.48779064416885376},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4867136776447296},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4438195824623108},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4370269775390625},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.4300851821899414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37785202264785767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7221884727478027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7184606790542603},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5969449281692505},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5567594766616821},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5008735656738281},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4938657879829407},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.48779064416885376},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4867136776447296},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4438195824623108},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4370269775390625},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.4300851821899414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37785202264785767},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-211820","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-211820","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W177590838","https://openalex.org/W226699106","https://openalex.org/W341374992","https://openalex.org/W1528915954","https://openalex.org/W1545302199","https://openalex.org/W1570448133","https://openalex.org/W1570713908","https://openalex.org/W1755861215","https://openalex.org/W1984827503","https://openalex.org/W2017023378","https://openalex.org/W2021776333","https://openalex.org/W2025886727","https://openalex.org/W2027654459","https://openalex.org/W2028067695","https://openalex.org/W2028136593","https://openalex.org/W2037036168","https://openalex.org/W2040895929","https://openalex.org/W2053481403","https://openalex.org/W2066628421","https://openalex.org/W2071943740","https://openalex.org/W2091469633","https://openalex.org/W2104787607","https://openalex.org/W2115412314","https://openalex.org/W2122765909","https://openalex.org/W2152311353","https://openalex.org/W2295049532","https://openalex.org/W2346720634","https://openalex.org/W2567830010","https://openalex.org/W2579703217","https://openalex.org/W2606105023","https://openalex.org/W2790675133","https://openalex.org/W2808577077","https://openalex.org/W2809120769","https://openalex.org/W2895786840","https://openalex.org/W2963852062","https://openalex.org/W2972492618","https://openalex.org/W2976353811","https://openalex.org/W3012286996","https://openalex.org/W3015658132","https://openalex.org/W3016602372","https://openalex.org/W3035353028","https://openalex.org/W3044846337","https://openalex.org/W3085547913","https://openalex.org/W3088400790","https://openalex.org/W3096847176","https://openalex.org/W3107973285","https://openalex.org/W3192370123","https://openalex.org/W4211007335","https://openalex.org/W6783317700"],"related_works":["https://openalex.org/W2085599877","https://openalex.org/W1964929739","https://openalex.org/W2775171027","https://openalex.org/W2020883292","https://openalex.org/W2938025122","https://openalex.org/W1970275956","https://openalex.org/W2117108960","https://openalex.org/W1590235378","https://openalex.org/W2038572603","https://openalex.org/W3172024607"],"abstract_inverted_index":{"Machine":[0],"learning":[1,16,39,108],"approaches":[2,17,109,138],"have":[3,18],"a":[4,36],"valuable":[5],"contribution":[6],"in":[7,10,21,25,76,110,139,174,182,198],"improving":[8],"competency":[9],"automated":[11],"decision":[12],"systems.":[13],"Several":[14],"machine":[15,38,107],"been":[19,72],"developed":[20],"the":[22,49,60,77,81,97,119,124,140,146,150,154,160,175,183,186,189,195,199],"past":[23],"studies":[24],"individual":[26],"disease":[27],"diagnosis":[28,42,78,141],"prediction.":[29],"The":[30,94,127],"present":[31],"study":[32],"aims":[33],"to":[34],"develop":[35],"hybrid":[37,106,129,137],"approach":[40,99,130,152],"for":[41],"predictions":[43],"of":[44,51,62,80,96,112,143,145,158,185,188],"multiple":[45],"diseases":[46],"based":[47],"on":[48],"combination":[50,61],"efficient":[52],"feature":[53],"generation,":[54],"selection,":[55],"and":[56,68,74,91,104,123,135,171,178],"classification":[57,176],"methods.":[58],"Specifically,":[59],"latent":[63],"semantic":[64],"analysis,":[65],"ranker":[66],"search,":[67],"fuzzy-rough-k-nearest":[69],"neighbor":[70],"has":[71],"proposed":[73,98,128],"validated":[75],"prediction":[79,142],"primary":[82,161],"tumor,":[83,162],"post-operative,":[84],"breast":[85,164],"cancer,":[86],"lymphography,":[87],"audiology,":[88,170],"fertility,":[89],"immunotherapy,":[90],"COVID-19,":[92],"etc.":[93],"performance":[95],"is":[100],"compared":[101],"with":[102],"single":[103,134],"other":[105,136,179],"terms":[111],"accuracy,":[113],"analysis":[114],"time,":[115],"precision,":[116],"recall,":[117],"F-measure,":[118],"area":[120],"under":[121],"ROC,":[122],"Kappa":[125],"coefficient.":[126],"performs":[131],"better":[132],"than":[133],"each":[144],"selected":[147,190],"diseases.":[148,191],"Precisely,":[149],"suggested":[151],"achieved":[153],"maximum":[155],"recognition":[156,184],"accuracy":[157,177],"99.12%of":[159],"96.45%of":[163],"cancer":[165],"Wisconsin,":[166],"94.44%of":[167],"cryotherapy,":[168],"93.81%of":[169],"significant":[172],"improvement":[173],"evaluation":[180],"metrics":[181],"rest":[187],"Besides,":[192],"it":[193],"handles":[194],"missing":[196],"values":[197],"dataset":[200],"effectively.":[201]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}