{"id":"https://openalex.org/W7124169977","doi":"https://doi.org/10.1109/codit66093.2025.11321890","title":"Deep Learning for Multivariate ICU Beds Forecasting During Global Healthcare Crisis: COVID-19 Case Study","display_name":"Deep Learning for Multivariate ICU Beds Forecasting During Global Healthcare Crisis: COVID-19 Case Study","publication_year":2025,"publication_date":"2025-07-15","ids":{"openalex":"https://openalex.org/W7124169977","doi":"https://doi.org/10.1109/codit66093.2025.11321890"},"language":null,"primary_location":{"id":"doi:10.1109/codit66093.2025.11321890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit66093.2025.11321890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5006860939","display_name":"A. Amal","orcid":null},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Abid Amal","raw_affiliation_strings":["University of Sousse Higher Institute of Computer Science and Communication Technologies (ISITCom),MARS Research Lab, LR17ES05,Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sousse Higher Institute of Computer Science and Communication Technologies (ISITCom),MARS Research Lab, LR17ES05,Tunisia","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123006669","display_name":"Tlili Mounira","orcid":null},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Tlili Mounira","raw_affiliation_strings":["University of Sousse Higher Institute of Computer Science and Communication Technologies (ISITCom),MARS Research Lab, LR17ES05,Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sousse Higher Institute of Computer Science and Communication Technologies (ISITCom),MARS Research Lab, LR17ES05,Tunisia","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120285369","display_name":"Maarouf Feten","orcid":null},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Maarouf Feten","raw_affiliation_strings":["University of Sousse Higher Institute of Computer Science and Communication Technologies (ISITCom),MARS Research Lab, LR17ES05,Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sousse Higher Institute of Computer Science and Communication Technologies (ISITCom),MARS Research Lab, LR17ES05,Tunisia","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093954488","display_name":"KORBAA Ouajdi","orcid":null},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Korbaa Ouajdi","raw_affiliation_strings":["University of Sousse Higher Institute of Computer Science and Communication Technologies (ISITCom),MARS Research Lab, LR17ES05,Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sousse Higher Institute of Computer Science and Communication Technologies (ISITCom),MARS Research Lab, LR17ES05,Tunisia","institution_ids":["https://openalex.org/I8636806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8636806"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75745785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.14730000495910645,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.14730000495910645,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11095","display_name":"Emergency and Acute Care Studies","score":0.07649999856948853,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.06679999828338623,"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/health-care","display_name":"Health care","score":0.7494000196456909},{"id":"https://openalex.org/keywords/intensive-care-unit","display_name":"Intensive care unit","score":0.5073999762535095},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.4790000021457672},{"id":"https://openalex.org/keywords/intensive-care","display_name":"Intensive care","score":0.44040000438690186},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4388999938964844},{"id":"https://openalex.org/keywords/public-healthcare","display_name":"Public healthcare","score":0.43320000171661377},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.43299999833106995},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.42809998989105225}],"concepts":[{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.7494000196456909},{"id":"https://openalex.org/C2776376669","wikidata":"https://www.wikidata.org/wiki/Q5094647","display_name":"Intensive care unit","level":2,"score":0.5073999762535095},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.4790000021457672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4596000015735626},{"id":"https://openalex.org/C2987404301","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care","level":2,"score":0.44040000438690186},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4388999938964844},{"id":"https://openalex.org/C2986711855","wikidata":"https://www.wikidata.org/wiki/Q294308","display_name":"Public healthcare","level":3,"score":0.43320000171661377},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.42809998989105225},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.40209999680519104},{"id":"https://openalex.org/C2988170871","wikidata":"https://www.wikidata.org/wiki/Q11000047","display_name":"Healthcare system","level":3,"score":0.3986999988555908},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3285999894142151},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3208000063896179},{"id":"https://openalex.org/C22467394","wikidata":"https://www.wikidata.org/wiki/Q849359","display_name":"Multidisciplinary approach","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.3046000003814697},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C122637931","wikidata":"https://www.wikidata.org/wiki/Q118084","display_name":"Unit (ring theory)","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.2906000018119812},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2858999967575073},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.2847999930381775},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2732999920845032},{"id":"https://openalex.org/C513323569","wikidata":"https://www.wikidata.org/wiki/Q6554101","display_name":"Medical equipment","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit66093.2025.11321890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit66093.2025.11321890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6529607176780701,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2161212365","https://openalex.org/W2259317772","https://openalex.org/W2760102968","https://openalex.org/W2984376566","https://openalex.org/W3024761859","https://openalex.org/W3036534246","https://openalex.org/W3049310425","https://openalex.org/W3107486892","https://openalex.org/W3123366424","https://openalex.org/W3130445189","https://openalex.org/W3157175643","https://openalex.org/W3183174968","https://openalex.org/W3187628238","https://openalex.org/W3188870557","https://openalex.org/W4200055098","https://openalex.org/W4214903293","https://openalex.org/W4280533868","https://openalex.org/W4281399778","https://openalex.org/W4283021234","https://openalex.org/W4290601167","https://openalex.org/W4294958302","https://openalex.org/W4323316459","https://openalex.org/W4385606880","https://openalex.org/W4385797684","https://openalex.org/W4388916298","https://openalex.org/W4391887045","https://openalex.org/W4392390434","https://openalex.org/W4409988601","https://openalex.org/W4411988698"],"related_works":[],"abstract_inverted_index":{"The":[0],"coronavirus":[1],"disease":[2],"2019":[3],"(COVID-19)":[4],"placed":[5],"significant":[6,169],"and":[7,39,54,65,79,136,159],"unprecedented":[8],"challenges":[9],"on":[10],"the":[11,60,70,94,112,126,132,139,156,160,175],"Tunisian":[12,171],"public":[13,172],"healthcare":[14,31,55,87],"system.":[15],"Healthcare":[16],"facilities":[17,88],"were":[18],"overwhelmed":[19],"by":[20],"a":[21,49,101,149],"surge":[22],"in":[23,26,89,170],"demand,":[24],"resulting":[25],"crisis-level":[27],"shortages":[28],"of":[29,75,115,151,163],"essential":[30],"resources,":[32],"including":[33],"qualified":[34],"personnel,":[35],"respiratory":[36],"support":[37],"equipment,":[38],"Intensive":[40],"Care":[41],"Unit":[42],"(ICU)":[43,119],"beds.":[44,120],"This":[45,98],"resource":[46,91],"scarcity":[47],"created":[48],"critical":[50],"imbalance":[51],"between":[52,155],"demand":[53],"system":[56],"capacity,":[57],"severely":[58],"compromising":[59],"ability":[61],"to":[62,85,110],"provide":[63],"adequate":[64],"timely":[66],"patient":[67],"care":[68,117],"during":[69,93,174],"COVID-19":[71,95,176],"crisis.":[72],"Accurate":[73],"prediction":[74],"future":[76],"case":[77],"numbers":[78],"medical":[80],"equipment":[81],"needs":[82],"is":[83],"crucial":[84],"assist":[86],"optimizing":[90],"allocation":[92],"epidemic":[96],"surges.":[97],"paper":[99],"presents":[100],"Long":[102],"Short-Term":[103],"Memory":[104],"(LSTM)":[105],"recurrent":[106],"neural":[107],"network":[108],"model":[109,142],"forecast":[111],"required":[113],"number":[114,162],"intensive":[116],"unit":[118],"Various":[121],"error":[122],"quantification":[123],"metrics":[124],"measure":[125],"LSTM":[127,141],"model\u2019s":[128],"performance,":[129,146],"such":[130],"as":[131],"R2,":[133],"MAE,":[134],"MSE,":[135],"RMSE.":[137],"Despite":[138],"proposed":[140],"demonstrating":[143],"good":[144],"predictive":[145],"we":[147],"observe":[148],"deviation":[150],"approximately":[152],"3":[153],"beds":[154],"predicted":[157],"values":[158],"actual":[161],"occupied":[164],"beds,":[165],"which":[166],"can":[167],"be":[168],"hospitals":[173],"outbreak.":[177]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-15T00:00:00"}
