{"id":"https://openalex.org/W4213021139","doi":"https://doi.org/10.1145/3502060.3503639","title":"Modelling the length of hospital stay in medicine and surgical departments","display_name":"Modelling the length of hospital stay in medicine and surgical departments","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W4213021139","doi":"https://doi.org/10.1145/3502060.3503639"},"language":"en","primary_location":{"id":"doi:10.1145/3502060.3503639","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3502060.3503639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Biomedical Engineering and Computational Biology","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/A5059338646","display_name":"Antonella Fiorillo","orcid":"https://orcid.org/0000-0002-6289-6602"},"institutions":[{"id":"https://openalex.org/I4210117450","display_name":"Federico II University Hospital","ror":"https://ror.org/02jr6tp70","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210117450","https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonella Fiorillo","raw_affiliation_strings":["Department of Advanced Biomedical Sciences, University Hospital of Naples Federico II, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Advanced Biomedical Sciences, University Hospital of Naples Federico II, Italy","institution_ids":["https://openalex.org/I4210117450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034822295","display_name":"Ilaria Picone","orcid":"https://orcid.org/0000-0002-2068-1291"},"institutions":[{"id":"https://openalex.org/I4210117450","display_name":"Federico II University Hospital","ror":"https://ror.org/02jr6tp70","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210117450","https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ilaria Picone","raw_affiliation_strings":["Department of Advanced Biomedical Sciences, University Hospital of Naples Federico II, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Advanced Biomedical Sciences, University Hospital of Naples Federico II, Italy","institution_ids":["https://openalex.org/I4210117450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026649828","display_name":"Imma Latessa","orcid":"https://orcid.org/0000-0002-5069-8932"},"institutions":[{"id":"https://openalex.org/I4210117450","display_name":"Federico II University Hospital","ror":"https://ror.org/02jr6tp70","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210117450","https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Imma Latessa","raw_affiliation_strings":["Department of Public Health, University Hospital of Naples Federico II, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Public Health, University Hospital of Naples Federico II, Italy","institution_ids":["https://openalex.org/I4210117450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075223014","display_name":"Alberto Cuocolo","orcid":"https://orcid.org/0000-0003-3431-7658"},"institutions":[{"id":"https://openalex.org/I4210117450","display_name":"Federico II University Hospital","ror":"https://ror.org/02jr6tp70","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210117450","https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Cuocolo","raw_affiliation_strings":["Department of Advanced Biomedical Sciences, University Hospital of Naples Federico II, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Advanced Biomedical Sciences, University Hospital of Naples Federico II, Italy","institution_ids":["https://openalex.org/I4210117450"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3054,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61933779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9483000040054321,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9483000040054321,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9247000217437744,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.900600016117096,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/linear-regression","display_name":"Linear regression","score":0.6479246020317078},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.6399507522583008},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.6127387881278992},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.5154367685317993},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5108187198638916},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49593672156333923},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4883229434490204},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.42397499084472656},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.36909031867980957},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.36833804845809937},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3321301341056824},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2083752155303955},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.1527831256389618},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11369886994361877}],"concepts":[{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.6479246020317078},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.6399507522583008},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.6127387881278992},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.5154367685317993},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5108187198638916},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49593672156333923},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4883229434490204},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.42397499084472656},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.36909031867980957},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.36833804845809937},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3321301341056824},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2083752155303955},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.1527831256389618},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11369886994361877},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3502060.3503639","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3502060.3503639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Biomedical Engineering and Computational Biology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2040895929","https://openalex.org/W2125055259","https://openalex.org/W2330219538","https://openalex.org/W2360310388","https://openalex.org/W2491660156","https://openalex.org/W2510834662","https://openalex.org/W2551979481","https://openalex.org/W2587977043","https://openalex.org/W2742546281","https://openalex.org/W2766207659","https://openalex.org/W2766398381","https://openalex.org/W2772312998","https://openalex.org/W2774327192","https://openalex.org/W2788519854","https://openalex.org/W2801722003","https://openalex.org/W2892498858","https://openalex.org/W2905395632","https://openalex.org/W2910844001","https://openalex.org/W2944958482","https://openalex.org/W2954637183","https://openalex.org/W2970722156","https://openalex.org/W2973178436","https://openalex.org/W2974993713","https://openalex.org/W2975033947","https://openalex.org/W2975199907","https://openalex.org/W2975319707","https://openalex.org/W2982043628","https://openalex.org/W3004090648","https://openalex.org/W3004587016","https://openalex.org/W3017085492","https://openalex.org/W3033159036","https://openalex.org/W3039197143","https://openalex.org/W3041343669","https://openalex.org/W3041553777","https://openalex.org/W3041820432","https://openalex.org/W3046253770","https://openalex.org/W3064554225","https://openalex.org/W3108233638","https://openalex.org/W3108856375","https://openalex.org/W3112684837","https://openalex.org/W3127872743","https://openalex.org/W3133957411","https://openalex.org/W3153366054","https://openalex.org/W6775502236"],"related_works":["https://openalex.org/W2610868774","https://openalex.org/W2092994918","https://openalex.org/W2390006526","https://openalex.org/W3216594821","https://openalex.org/W3215700490","https://openalex.org/W1915333409","https://openalex.org/W2393341384","https://openalex.org/W4289356671","https://openalex.org/W4363647291","https://openalex.org/W4377094298"],"abstract_inverted_index":{"Healthcare":[0],"Associated":[1],"Infections":[2],"are":[3],"among":[4],"the":[5,12,47,72,90,137,141,147],"world's":[6],"leading":[7],"public":[8],"health":[9,144],"problems":[10],"and":[11,39,104,122],"most":[13],"serious":[14],"complications":[15],"for":[16,99,132,140],"hospitalized":[17],"patients":[18,34],"that":[19,114],"can":[20],"impact":[21],"length":[22],"of":[23,32,49,53,74,110,143,149],"stay":[24],"(LOS).":[25],"In":[26],"this":[27],"work,":[28],"medical":[29],"record":[30],"data":[31],"24365":[33],"admitted":[35],"to":[36,79,135],"general":[37],"surgery":[38],"clinical":[40,61,120],"medicine":[41],"wards":[42],"were":[43,96],"used":[44],"collectively":[45],"with":[46,69,84,89],"aim":[48],"creating":[50],"models":[51],"capable":[52],"predicting":[54],"overall":[55,123],"LOS,":[56],"measured":[57],"in":[58,146],"days,":[59],"considering":[60],"information.":[62],"Multiple":[63],"linear":[64,102],"regression":[65,82,103,106],"analysis":[66,83],"was":[67,77,87],"performed":[68,88],"IBM":[70],"SPSS,":[71],"coefficient":[73],"determination":[75],"(R2)":[76],"equal":[78],"0,288.":[80],"A":[81],"ML":[85,105],"algorithms":[86],"Knime":[91],"Analysis":[92],"Platform.":[93],"The":[94,108,125],"R2":[95],"quite":[97],"low":[98],"both":[100],"multiple":[101],"analyses.":[107],"use":[109],"these":[111],"techniques":[112],"showed":[113],"there":[115],"is":[116],"a":[117,128],"relationship":[118],"between":[119],"variables":[121],"LOS.":[124],"results":[126],"constitute":[127],"valid":[129],"support":[130],"tool":[131],"decision":[133],"makers":[134],"provide":[136],"turnover":[138],"index":[139],"benefit":[142],"policy":[145],"management":[148],"departments.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}