{"id":"https://openalex.org/W2054488472","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891802","title":"Binary Fish School Search applied to feature selection: Application to ICU readmissions","display_name":"Binary Fish School Search applied to feature selection: Application to ICU readmissions","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2054488472","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891802","mag":"2054488472"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2014.6891802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-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/A5051324368","display_name":"Joao A. G. Sargo","orcid":null},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Joao A. G. Sargo","raw_affiliation_strings":["LAETA, Universidade de Lisboa, Lisboa, Portugal","LAETA, IDMEC, Institute Superior Teenico, Universidade de Lisboa, Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"LAETA, Universidade de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]},{"raw_affiliation_string":"LAETA, IDMEC, Institute Superior Teenico, Universidade de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023524727","display_name":"Susana M. Vieira","orcid":"https://orcid.org/0000-0001-7961-1004"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Susana M. Vieira","raw_affiliation_strings":["LAETA, Universidade de Lisboa, Lisboa, Portugal","LAETA, IDMEC, Institute Superior Teenico, Universidade de Lisboa, Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"LAETA, Universidade de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]},{"raw_affiliation_string":"LAETA, IDMEC, Institute Superior Teenico, Universidade de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068474295","display_name":"Jo\u00e3o M. C. Sousa","orcid":"https://orcid.org/0000-0002-8030-4746"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joao M. C. Sousa","raw_affiliation_strings":["LAETA, Universidade de Lisboa, Lisboa, Portugal","LAETA, IDMEC, Institute Superior Teenico, Universidade de Lisboa, Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"LAETA, Universidade de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]},{"raw_affiliation_string":"LAETA, IDMEC, Institute Superior Teenico, Universidade de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028876161","display_name":"Carmelo J. A. Bastos-Filho","orcid":"https://orcid.org/0000-0002-0924-5341"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carmelo J.A. Bastos Filho","raw_affiliation_strings":["IEEE SM, University of Pemambuco (UPE), Recife, Brazil","University of Pernambuco, UPE, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"IEEE SM, University of Pemambuco (UPE), Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]},{"raw_affiliation_string":"University of Pernambuco, UPE, Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051324368"],"corresponding_institution_ids":["https://openalex.org/I141596103"],"apc_list":null,"apc_paid":null,"fwci":2.1014,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89335157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"4","issue":null,"first_page":"1366","last_page":"1373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.970300018787384,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.970300018787384,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9358999729156494,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9035999774932861,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7801353931427002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.682839572429657},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6569985151290894},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5694621801376343},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5683668851852417},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5181935429573059},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4758862257003784},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.4651855528354645},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.42471906542778015},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.421542763710022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4196651577949524},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38096946477890015},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.35599285364151},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35359886288642883},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11869648098945618},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11355933547019958}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7801353931427002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682839572429657},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6569985151290894},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5694621801376343},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5683668851852417},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5181935429573059},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4758862257003784},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.4651855528354645},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.42471906542778015},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.421542763710022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4196651577949524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38096946477890015},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.35599285364151},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35359886288642883},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11869648098945618},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11355933547019958},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2014.6891802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W43113413","https://openalex.org/W140777655","https://openalex.org/W572859077","https://openalex.org/W1964176984","https://openalex.org/W1998428198","https://openalex.org/W2025516544","https://openalex.org/W2035703056","https://openalex.org/W2087859259","https://openalex.org/W2095752435","https://openalex.org/W2119387367","https://openalex.org/W2122966699","https://openalex.org/W2147370611","https://openalex.org/W2162949830","https://openalex.org/W3203992401","https://openalex.org/W4205699531","https://openalex.org/W4233391551","https://openalex.org/W6656594533"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2357343347","https://openalex.org/W2361978647","https://openalex.org/W2061790172"],"abstract_inverted_index":{"This":[0,84],"paper":[1],"proposes":[2],"a":[3,42,71],"novel":[4],"feature":[5,34],"selection":[6,35],"approach":[7,73],"formulated":[8],"based":[9,30],"on":[10],"the":[11,39,47,51,56,105,120,129,147],"Fish":[12],"School":[13],"Search":[14],"(FSS)":[15],"optimization":[16,31],"algorithm,":[17],"intended":[18],"to":[19,26,89,103,112],"cope":[20],"with":[21,67],"premature":[22],"convergence.":[23],"In":[24],"order":[25],"use":[27,40],"this":[28,100],"population":[29],"algorithm":[32,64],"in":[33,70,123],"problems,":[36],"we":[37],"propose":[38],"of":[41,50,99,107,125,131],"binary":[43,57],"encoding":[44],"scheme":[45],"for":[46,74],"internal":[48],"mechanisms":[49],"fish":[52,58],"school":[53,59],"search,":[54],"emerging":[55],"search":[60],"(BFSS).":[61],"The":[62,97],"suggested":[63],"was":[65,87,102],"combined":[66],"fuzzy":[68],"modeling":[69],"wrapper":[72],"Feature":[75],"Selection":[76],"(FS)":[77],"and":[78,128],"tested":[79],"over":[80],"three":[81],"benchmark":[82],"databases.":[83],"hybrid":[85],"proposal":[86,143],"applied":[88],"an":[90],"ICU":[91,108],"(Intensive":[92],"Care":[93],"Unit)":[94],"readmission":[95,106],"problem.":[96],"purpose":[98],"application":[101],"predict":[104],"patients":[109],"within":[110],"24":[111],"72":[113],"hours":[114],"after":[115],"being":[116],"discharged.":[117],"We":[118,139],"assessed":[119],"experimental":[121],"results":[122],"terms":[124],"performance":[126],"measures":[127],"number":[130],"features":[132],"selected":[133],"by":[134],"each":[135],"used":[136],"FS":[137],"algorithms.":[138],"observed":[140],"that":[141],"our":[142],"can":[144],"correctly":[145],"select":[146],"discriminating":[148],"input":[149],"features.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
