{"id":"https://openalex.org/W4294811617","doi":"https://doi.org/10.1109/cec55065.2022.9870380","title":"Evolving Classification Rules for Predicting Hypoglycemia Events","display_name":"Evolving Classification Rules for Predicting Hypoglycemia Events","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4294811617","doi":"https://doi.org/10.1109/cec55065.2022.9870380"},"language":"en","primary_location":{"id":"doi:10.1109/cec55065.2022.9870380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870380","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE Congress on Evolutionary Computation (CEC)","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/A5033451660","display_name":"Marina de la Cruz","orcid":"https://orcid.org/0000-0002-3038-5541"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marina De La Cruz","raw_affiliation_strings":["Universidad Complutense de Madrid,Madrid,Spain","Universidad Complutense de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Complutense de Madrid,Madrid,Spain","institution_ids":["https://openalex.org/I121748325"]},{"raw_affiliation_string":"Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057365908","display_name":"Carlos Cervig\u00f3n","orcid":"https://orcid.org/0000-0001-9941-7751"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carlos Cervigon","raw_affiliation_strings":["Universidad Complutense de Madrid,Madrid,Spain","Universidad Complutense de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Complutense de Madrid,Madrid,Spain","institution_ids":["https://openalex.org/I121748325"]},{"raw_affiliation_string":"Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101652783","display_name":"Jorge Alvarado","orcid":"https://orcid.org/0000-0002-7943-4455"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jorge Alvarado","raw_affiliation_strings":["Universidad Complutense de Madrid,Madrid,Spain","Universidad Complutense de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Complutense de Madrid,Madrid,Spain","institution_ids":["https://openalex.org/I121748325"]},{"raw_affiliation_string":"Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088384701","display_name":"Marta Botella-Serrano","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106572","display_name":"Hospital Universitario Pr\u00edncipe de Asturias","ror":"https://ror.org/01az6dv73","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210106572","https://openalex.org/I4210139293"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marta Botella-Serrano","raw_affiliation_strings":["Hospital Universitario Pr&#x00ED;ncipe de Asturias,Alcal&#x00E1; de Henares,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hospital Universitario Pr&#x00ED;ncipe de Asturias,Alcal&#x00E1; de Henares,Spain","institution_ids":["https://openalex.org/I4210106572"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085569944","display_name":"J. Ignacio Hidalgo","orcid":"https://orcid.org/0000-0002-3046-6368"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J.Ignacio Hidalgo","raw_affiliation_strings":["Universidad Complutense de Madrid, Instituto de Tecnolog&#x00ED;a del Conocimiento,Madrid,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Complutense de Madrid, Instituto de Tecnolog&#x00ED;a del Conocimiento,Madrid,Spain","institution_ids":["https://openalex.org/I121748325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4741,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78823529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9947999715805054,"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"}},"topics":[{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9840999841690063,"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":0.9801999926567078,"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/hypoglycemia","display_name":"Hypoglycemia","score":0.8737126588821411},{"id":"https://openalex.org/keywords/damages","display_name":"Damages","score":0.8129478693008423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5605207085609436},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5255208015441895},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.511221170425415},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4848366975784302},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.48073530197143555},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.44304993748664856},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.41350769996643066},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.39244258403778076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32402336597442627},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2293941080570221},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.10095348954200745},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09227058291435242}],"concepts":[{"id":"https://openalex.org/C2780668416","wikidata":"https://www.wikidata.org/wiki/Q202758","display_name":"Hypoglycemia","level":3,"score":0.8737126588821411},{"id":"https://openalex.org/C2777381055","wikidata":"https://www.wikidata.org/wiki/Q308922","display_name":"Damages","level":2,"score":0.8129478693008423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5605207085609436},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5255208015441895},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.511221170425415},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4848366975784302},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.48073530197143555},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.44304993748664856},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.41350769996643066},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.39244258403778076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32402336597442627},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2293941080570221},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.10095348954200745},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09227058291435242},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec55065.2022.9870380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870380","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1593481303","https://openalex.org/W1984732187","https://openalex.org/W2025272597","https://openalex.org/W2074318760","https://openalex.org/W2109416725","https://openalex.org/W2177870565","https://openalex.org/W2464472116","https://openalex.org/W2605210233","https://openalex.org/W2736066352","https://openalex.org/W2742286538","https://openalex.org/W2775338203","https://openalex.org/W2808150160","https://openalex.org/W2809064882","https://openalex.org/W2811031266","https://openalex.org/W2890653340","https://openalex.org/W2899678759","https://openalex.org/W2909057746","https://openalex.org/W2912097622","https://openalex.org/W2938006113","https://openalex.org/W2949554208","https://openalex.org/W2953717652","https://openalex.org/W2967473876","https://openalex.org/W2972724999","https://openalex.org/W2980913398","https://openalex.org/W2988860641","https://openalex.org/W3012064747","https://openalex.org/W3016344200","https://openalex.org/W3031241991","https://openalex.org/W3104876936","https://openalex.org/W3120565934","https://openalex.org/W3137461132","https://openalex.org/W3190479084","https://openalex.org/W4207044397","https://openalex.org/W4230487626","https://openalex.org/W4235584775","https://openalex.org/W6747106338"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2383009242","https://openalex.org/W1563850031","https://openalex.org/W2415759662","https://openalex.org/W4322723668","https://openalex.org/W3036934084","https://openalex.org/W2233866314","https://openalex.org/W1989633716","https://openalex.org/W2324745507"],"abstract_inverted_index":{"People":[0],"with":[1,45,133,146],"diabetes":[2,46],"have":[3],"to":[4,13,48,68,100],"properly":[5],"manage":[6],"their":[7],"blood":[8],"glucose":[9],"levels":[10],"in":[11,63,82,90],"order":[12],"avoid":[14],"acute":[15],"complications.":[16],"This":[17],"is":[18,47,66,99],"a":[19,121],"difficult":[20],"task":[21],"and":[22,25,55,75,86,129],"an":[23,50],"accurate":[24],"timely":[26],"prediction":[27],"may":[28,78],"be":[29,61],"of":[30,34,39,43,71,96],"vital":[31],"importance,":[32],"specially":[33],"extreme":[35],"values.":[36],"Perhaps":[37],"one":[38],"the":[40,58,83,91],"main":[41],"concerns":[42],"people":[44],"suffer":[49],"hypoglycemia":[51,76,106],"(low":[52],"value)":[53,74],"event":[54,59],"moreover,":[56],"that":[57,77],"will":[60],"prolonged":[62],"time.":[64],"It":[65],"crucial":[67],"predict":[69],"events":[70,107],"hyperglycemia":[72],"(high":[73],"cause":[79],"health":[80],"damages":[81,89],"short":[84],"term":[85],"potential":[87],"permanent":[88],"long":[92],"term.":[93],"The":[94],"aim":[95],"this":[97],"paper":[98],"describe":[101],"our":[102,131],"research":[103],"on":[104,124],"predicting":[105],"using":[108],"Dynamic":[109],"structured":[110],"Grammatical":[111],"Evolution.":[112],"Our":[113],"proposal":[114],"gives":[115],"white":[116],"box":[117],"models":[118],"induced":[119],"by":[120],"grammar":[122],"based":[123],"if-then-else":[125],"conditions.":[126],"We":[127],"trained":[128],"tested":[130],"system":[132],"real":[134],"data":[135],"collected":[136],"from":[137],"5":[138],"different":[139],"diabetic":[140],"patients,":[141],"producing":[142],"30":[143],"minutes":[144],"predictions":[145],"encouraging":[147],"results.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
