{"id":"https://openalex.org/W4200276809","doi":"https://doi.org/10.1109/clei53233.2021.9640117","title":"An Analysis of the Time Aggregation Influence on Patients Forecasting in Emergency Services","display_name":"An Analysis of the Time Aggregation Influence on Patients Forecasting in Emergency Services","publication_year":2021,"publication_date":"2021-10-25","ids":{"openalex":"https://openalex.org/W4200276809","doi":"https://doi.org/10.1109/clei53233.2021.9640117"},"language":"en","primary_location":{"id":"doi:10.1109/clei53233.2021.9640117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei53233.2021.9640117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 XLVII Latin American Computing Conference (CLEI)","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/A5087726598","display_name":"Hugo \u00c1lvarez-Chaves","orcid":"https://orcid.org/0000-0002-5864-9035"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Hugo \u00c1lvarez-Chaves","raw_affiliation_strings":["Universidad de Alcalá,Departamento de Autom\u00e1tica,Alcalá de Henares,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcalá,Departamento de Autom\u00e1tica,Alcalá de Henares,Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010759389","display_name":"David F. Barrero","orcid":"https://orcid.org/0000-0002-3601-3052"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David F. Barrero","raw_affiliation_strings":["Universidad de Alcalá,Departamento de Autom\u00e1tica,Alcalá de Henares,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcalá,Departamento de Autom\u00e1tica,Alcalá de Henares,Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069036499","display_name":"Helena Hern\u00e1ndez Mart\u00ednez","orcid":"https://orcid.org/0000-0002-3140-0707"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Helena Hern\u00e1ndez Mart\u00ednez","raw_affiliation_strings":["Universidad de Alcalá,Departamento de Enfermer\u00eda y Fisioterapia,Alcalá de Henares,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcalá,Departamento de Enfermer\u00eda y Fisioterapia,Alcalá de Henares,Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082255120","display_name":"M. Isabel Pascual Benito","orcid":null},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. Isabel Pascual Benito","raw_affiliation_strings":["Universidad de Alcalá,Departamento de Enfermer\u00eda y Fisioterapia,Alcalá de Henares,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcalá,Departamento de Enfermer\u00eda y Fisioterapia,Alcalá de Henares,Spain","institution_ids":["https://openalex.org/I189268942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2836,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63595068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"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/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.953499972820282,"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/overcrowding","display_name":"Overcrowding","score":0.9741387367248535},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5808684825897217},{"id":"https://openalex.org/keywords/emergency-department","display_name":"Emergency department","score":0.5492621660232544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5335631370544434},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5151783227920532},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5045825242996216},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.46511414647102356},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4215574264526367},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2553304433822632},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19620323181152344},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1892957091331482},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1747570037841797},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.17192187905311584},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.15968507528305054},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12751808762550354},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.08162325620651245}],"concepts":[{"id":"https://openalex.org/C2778872837","wikidata":"https://www.wikidata.org/wiki/Q7113614","display_name":"Overcrowding","level":2,"score":0.9741387367248535},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5808684825897217},{"id":"https://openalex.org/C2780724011","wikidata":"https://www.wikidata.org/wiki/Q1295316","display_name":"Emergency department","level":2,"score":0.5492621660232544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5335631370544434},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5151783227920532},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5045825242996216},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.46511414647102356},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4215574264526367},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2553304433822632},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19620323181152344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1892957091331482},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1747570037841797},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.17192187905311584},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.15968507528305054},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12751808762550354},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.08162325620651245},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/clei53233.2021.9640117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei53233.2021.9640117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 XLVII Latin American Computing Conference (CLEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4321054264","https://openalex.org/W4382936642","https://openalex.org/W2031219210","https://openalex.org/W2155765253","https://openalex.org/W2141668586","https://openalex.org/W3132755233","https://openalex.org/W4253365012","https://openalex.org/W2092734722","https://openalex.org/W2336075604","https://openalex.org/W2087024057"],"abstract_inverted_index":{"The":[0,93],"COVID-19":[1],"pandemic":[2],"has":[3],"underlined":[4],"that":[5,96],"Emergency":[6],"Department":[7],"(ED)":[8],"overcrowding":[9],"is":[10,79,123,132],"a":[11],"critical":[12],"factor":[13],"in":[14,30,52,81,117],"care":[15],"services.":[16],"Getting":[17],"an":[18],"approximation":[19],"of":[20,23],"the":[21,26,42,46,66,101,105,118,136,141],"number":[22],"patients":[24],"attending":[25],"department":[27],"can":[28],"assist":[29],"service":[31,67],"resources":[32],"planning":[33],"and":[34,49,65,71,88],"prevent":[35],"overcrowding.":[36],"In":[37,110],"this":[38],"manuscript":[39],"we":[40],"present":[41],"forecasting":[43,78],"results":[44,94],"for":[45,107,127,140],"admissions,":[47],"inpatients":[48],"discharges":[50],"series":[51,74,77],"ED":[53],"by":[54],"using":[55],"different":[56],"time":[57,73,97,142],"aggregations":[58,98],"(eight":[59],"hours,":[60,62],"twelve":[61],"one":[63],"day":[64],"workers":[68],"official":[69],"shifts)":[70],"classical":[72],"algorithms.":[75],"Moreover,":[76],"performed":[80],"two":[82],"terms:":[83],"long":[84],"(four":[85],"months":[86],"ahead)":[87],"short":[89],"(seven":[90],"days":[91],"ahead).":[92],"show":[95],"strongly":[99],"influence":[100],"forecast":[102],"quality,":[103],"decreasing":[104],"effectiveness":[106],"one-day":[108],"aggregations.":[109],"addition,":[111],"best":[112,125],"metrics":[113],"are":[114],"not":[115],"obtained":[116],"same":[119],"aggregation,":[120],"so":[121],"there":[122],"no":[124],"aggregation":[126,143],"all":[128],"cases.":[129],"Therefore,":[130],"it":[131],"essential":[133],"to":[134],"analyse":[135],"ED-related":[137],"problem":[138],"faced":[139],"selection.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}