{"id":"https://openalex.org/W1997555950","doi":"https://doi.org/10.1109/icccnt.2013.6726611","title":"On hybridizing fuzzy min max neural network and firefly algorithm for automated heart disease diagnosis","display_name":"On hybridizing fuzzy min max neural network and firefly algorithm for automated heart disease diagnosis","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1997555950","doi":"https://doi.org/10.1109/icccnt.2013.6726611","mag":"1997555950"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt.2013.6726611","doi":"https://doi.org/10.1109/icccnt.2013.6726611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt.2013.6726611","pdf_url":null,"source":{"id":"https://openalex.org/S4306497833","display_name":"International Conference on Computing, Communication and Networking Technologies (ICCCNT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5102817332","display_name":"B. R. Rajakumar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B. R. Rajakumar","raw_affiliation_strings":["Aloy Labs, Bengaluru, India","Aloy Labs., Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aloy Labs, Bengaluru, India","institution_ids":[]},{"raw_affiliation_string":"Aloy Labs., Bangalore, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035766416","display_name":"Aloysius George","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aloysius George","raw_affiliation_strings":["Aloy Labs, Bengaluru, India","Aloy Labs., Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aloy Labs, Bengaluru, India","institution_ids":[]},{"raw_affiliation_string":"Aloy Labs., Bangalore, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4992,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.76426265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.975600004196167,"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":0.975600004196167,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.015699999406933784,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.0007999999797903001,"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/heart-disease-diagnosis","display_name":"heart disease diagnosis","score":0.9919999837875366},{"id":"https://openalex.org/keywords/fuzzy-min-max-neural-network","display_name":"fuzzy min-max neural network","score":0.9850000143051147},{"id":"https://openalex.org/keywords/firefly-algorithm","display_name":"firefly algorithm","score":1.0},{"id":"https://openalex.org/keywords/hybrid-metaheuristic-algorithm","display_name":"hybrid metaheuristic","score":0.6620000004768372},{"id":"https://openalex.org/keywords/rule-extraction","display_name":"rule extraction","score":0.6759999990463257},{"id":"https://openalex.org/keywords/heart-disease-classification","display_name":"heart disease classification","score":0.7519999742507935},{"id":"https://openalex.org/keywords/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.6669999957084656},{"id":"https://openalex.org/keywords/local-optima-avoidance","display_name":"local optima avoidance","score":0.7559999823570251}],"concepts":[{"id":"https://openalex.org/C154982244","wikidata":"https://www.wikidata.org/wiki/Q5451844","display_name":"Firefly algorithm","level":3,"score":0.8354088068008423},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6033531427383423},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5862716436386108},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5752830505371094},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5723005533218384},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5346471667289734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4905027747154236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4235774874687195},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42188209295272827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4164499044418335},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.09175717830657959},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.08727961778640747},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt.2013.6726611","doi":"https://doi.org/10.1109/icccnt.2013.6726611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt.2013.6726611","pdf_url":null,"source":{"id":"https://openalex.org/S4306497833","display_name":"International Conference on Computing, Communication and Networking Technologies (ICCCNT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8371999859809875,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W83210715","https://openalex.org/W1479945194","https://openalex.org/W1596914020","https://openalex.org/W1904483946","https://openalex.org/W1958498205","https://openalex.org/W2007187232","https://openalex.org/W2012545205","https://openalex.org/W2018922145","https://openalex.org/W2039237979","https://openalex.org/W2046432689","https://openalex.org/W2061255812","https://openalex.org/W2062302861","https://openalex.org/W2078738711","https://openalex.org/W2106980479","https://openalex.org/W2122086491","https://openalex.org/W2122417433","https://openalex.org/W2151596679","https://openalex.org/W2158113894","https://openalex.org/W2171216717","https://openalex.org/W2189025417","https://openalex.org/W2250033699","https://openalex.org/W2315330002","https://openalex.org/W2334843404","https://openalex.org/W2341927680","https://openalex.org/W2535323281","https://openalex.org/W2536743021","https://openalex.org/W2542040264","https://openalex.org/W2542597569","https://openalex.org/W3023540311","https://openalex.org/W6685338918","https://openalex.org/W6729217568"],"related_works":["https://openalex.org/W7213462817","https://openalex.org/W2009195342","https://openalex.org/W2589835051","https://openalex.org/W4231313256","https://openalex.org/W2550296366","https://openalex.org/W3046473350","https://openalex.org/W2966878954","https://openalex.org/W2542912824","https://openalex.org/W2895896476","https://openalex.org/W2999024591"],"abstract_inverted_index":{"Heart":[0],"disease":[1,28],"is":[2,19,64,148],"the":[3,12,35,41,45,55,58,61,70,73,121,130,152,165,170],"most":[4],"important":[5,20],"reason":[6],"of":[7,26,60,72,123,144,154,169],"morbidity":[8],"and":[9,105,133,161,167],"mortality":[10],"in":[11,91,112],"modern":[13],"society.":[14],"For":[15],"that":[16],"reason,":[17],"it":[18,127,147],"to":[21,31,33,39,68],"have":[22],"a":[23,107,135,140,149,163],"proper":[24],"diagnosis":[25,42],"heart":[27,48,155],"for":[29,110],"patients":[30],"live":[32],"tell":[34],"tale.":[36],"In":[37,54,82],"order":[38],"make":[40],"system":[43],"as":[44,67,118,120,162],"efficient":[46,77],"one,":[47],"diseases":[49,156],"should":[50,79],"be":[51,80,158],"classified":[52],"accurately.":[53],"existing":[56],"technique,":[57],"quality":[59,71],"extracted":[62,74],"rules":[63],"poor.":[65],"So":[66],"increase":[69],"rules,":[75],"an":[76],"technique":[78,172],"used.":[81],"our":[83],"proposed":[84,171],"methodology,":[85],"we":[86],"are":[87],"using":[88],"firefly":[89],"algorithm":[90,97],"Fuzzy":[92],"Min-Max":[93],"Neural":[94],"Network.":[95],"Firefly":[96],"has":[98,139],"high":[99],"convergence":[100],"tempo.":[101],"It":[102],"works":[103],"individually":[104],"finds":[106,134],"superior":[108],"position":[109,117],"itself":[111],"contemplation":[113],"with":[114],"its":[115],"recent":[116],"well":[119],"situation":[122],"other":[124],"fireflies.":[125],"And":[126],"escapes":[128],"from":[129],"local":[131],"optima":[132],"global":[136],"optimum":[137],"which":[138],"smaller":[141],"amount":[142],"number":[143],"iterations.":[145],"Since":[146],"robust":[150],"algorithm,":[151],"classification":[153],"can":[157],"done":[159],"fastly":[160],"result":[164],"accuracy":[166],"performance":[168],"becomes":[173],"encouraging.":[174]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
