{"id":"https://openalex.org/W2087761346","doi":"https://doi.org/10.1145/2001858.2002039","title":"An adaptive binary PSO to learn bayesian classifier for prognostic modeling of metabolic syndrome","display_name":"An adaptive binary PSO to learn bayesian classifier for prognostic modeling of metabolic syndrome","publication_year":2011,"publication_date":"2011-07-12","ids":{"openalex":"https://openalex.org/W2087761346","doi":"https://doi.org/10.1145/2001858.2002039","mag":"2087761346"},"language":"en","primary_location":{"id":"doi:10.1145/2001858.2002039","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2001858.2002039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001882647","display_name":"Satchidananda Dehuri","orcid":"https://orcid.org/0000-0003-1435-4531"},"institutions":[{"id":"https://openalex.org/I108526665","display_name":"Fakir Mohan University","ror":"https://ror.org/00g0n6t22","country_code":"IN","type":"education","lineage":["https://openalex.org/I108526665"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satchidananda Dehuri","raw_affiliation_strings":["Fakir Mohan University, Balasore, India","[Fakir Mohan University, Balasore, India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fakir Mohan University, Balasore, India","institution_ids":["https://openalex.org/I108526665"]},{"raw_affiliation_string":"[Fakir Mohan University, Balasore, India]","institution_ids":["https://openalex.org/I108526665"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083258901","display_name":"Rahul Roy","orcid":"https://orcid.org/0000-0002-4026-1307"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Roy","raw_affiliation_strings":["KIIT University, Bhubaneswar, India","KIIT University; Bhubaneswar; India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIIT University, Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]},{"raw_affiliation_string":"KIIT University; Bhubaneswar; India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108081550","display_name":"Sung\u2010Bae Cho","orcid":"https://orcid.org/0000-0002-7027-2429"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Bae Cho","raw_affiliation_strings":["Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.18831169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"495","last_page":"502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9785000085830688,"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":0.9785000085830688,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9222000241279602,"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/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.919700026512146,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6337653398513794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6286153793334961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6218858957290649},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.6011237502098083},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5768469572067261},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5767428874969482},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5571134090423584},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5553848147392273},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5280367136001587},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5048866868019104},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.41229718923568726},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1569797694683075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15577903389930725}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6337653398513794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6286153793334961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6218858957290649},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.6011237502098083},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5768469572067261},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5767428874969482},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5571134090423584},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5553848147392273},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5280367136001587},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5048866868019104},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.41229718923568726},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1569797694683075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15577903389930725},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2001858.2002039","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2001858.2002039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W185044448","https://openalex.org/W1508806100","https://openalex.org/W1600028385","https://openalex.org/W1970573249","https://openalex.org/W2071577707","https://openalex.org/W2092091037","https://openalex.org/W2122008040","https://openalex.org/W2130444032","https://openalex.org/W2156376207","https://openalex.org/W3083113686"],"related_works":["https://openalex.org/W3113091479","https://openalex.org/W2162899405","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2237480245","https://openalex.org/W2075065631","https://openalex.org/W4382934300","https://openalex.org/W2121061354","https://openalex.org/W4285388059"],"abstract_inverted_index":{"The":[0],"metabolic":[1],"syndrome":[2],"is":[3],"a":[4,12,28,52,63,87],"combination":[5],"of":[6,38,80,97,127],"medical":[7,34,67,107],"disorders":[8],"that":[9,58,85],"have":[10,117],"become":[11],"significant":[13],"problem":[14],"in":[15,22,36,66,109,124],"Asian":[16],"countries":[17],"due":[18],"to":[19],"the":[20,33,39,78,81,106,111,114,121,130,137],"change":[21],"lifestyle":[23],"and":[24,91,104,129],"food":[25],"habits.":[26],"Thus":[27],"prognostic":[29],"model":[30,132],"can":[31,59,92],"help":[32,105],"experts":[35,108],"diagnosis":[37],"disease.":[40,115],"Learnable":[41],"Bayesian":[42,83],"classifier":[43,84],"by":[44],"Adaptive":[45],"Binary":[46],"Particle":[47],"Swarm":[48],"Optimization":[49],"(ABPSO)":[50],"provides":[51,86,133],"robust":[53],"formalism":[54],"for":[55,76,113],"probabilistic":[56],"modeling":[57],"be":[60],"used":[61],"as":[62],"predictive":[64],"tool":[65],"domain.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72],"adopt":[73],"an":[74,94],"ABPSO":[75],"adapting":[77],"weights":[79],"learnable":[82],"maximum":[88],"prediction":[89],"accuracy":[90],"exhibit":[93],"improved":[95],"capability":[96],"removing":[98],"spurious":[99],"or":[100],"little":[101],"important":[102],"attributes":[103],"identifying":[110],"basis":[112],"Experiments":[116],"been":[118],"conducted":[119],"with":[120],"dataset":[122],"obtained":[123],"Yonchon":[125],"Country":[126],"Korea,":[128],"proposed":[131],"better":[134],"performance":[135],"than":[136],"other":[138],"models.":[139]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}