{"id":"https://openalex.org/W3173606726","doi":"https://doi.org/10.1109/icit46573.2021.9453534","title":"Long Short-Term Memory based RNN for COVID-19 disease prediction","display_name":"Long Short-Term Memory based RNN for COVID-19 disease prediction","publication_year":2021,"publication_date":"2021-03-10","ids":{"openalex":"https://openalex.org/W3173606726","doi":"https://doi.org/10.1109/icit46573.2021.9453534","mag":"3173606726"},"language":"en","primary_location":{"id":"doi:10.1109/icit46573.2021.9453534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit46573.2021.9453534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","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/A5009415954","display_name":"Safa Bahri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Safa Bahri","raw_affiliation_strings":["National School of Engineering of Tunis,LTSIRS Laboratory,Tunis,Tunisia,1002"],"affiliations":[{"raw_affiliation_string":"National School of Engineering of Tunis,LTSIRS Laboratory,Tunis,Tunisia,1002","institution_ids":["https://openalex.org/I4210131288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068216267","display_name":"Moetez Kdayem","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":"Moetez Kdayem","raw_affiliation_strings":["National School of Engineering of Sousse"],"affiliations":[{"raw_affiliation_string":"National School of Engineering of Sousse","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017861985","display_name":"Nesrine Zoghlami","orcid":"https://orcid.org/0000-0002-9604-7131"},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Nesrine Zoghlami","raw_affiliation_strings":["National School of Engineering of Tunis,LTSIRS Laboratory,Tunis,Tunisia,1002"],"affiliations":[{"raw_affiliation_string":"National School of Engineering of Tunis,LTSIRS Laboratory,Tunis,Tunisia,1002","institution_ids":["https://openalex.org/I4210131288"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009415954"],"corresponding_institution_ids":["https://openalex.org/I4210131288"],"apc_list":null,"apc_paid":null,"fwci":0.2749,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55951312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9966999888420105,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9922999739646912,"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/recurrent-neural-network","display_name":"Recurrent neural network","score":0.8771994113922119},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.7450065016746521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6550048589706421},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5863181352615356},{"id":"https://openalex.org/keywords/case-fatality-rate","display_name":"Case fatality rate","score":0.5549495816230774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.513149082660675},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.500910758972168},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4418225884437561},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3963348865509033},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.2771933376789093},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1797941029071808},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.11670500040054321},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.09543296694755554}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.8771994113922119},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.7450065016746521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6550048589706421},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5863181352615356},{"id":"https://openalex.org/C187316915","wikidata":"https://www.wikidata.org/wiki/Q92307203","display_name":"Case fatality rate","level":3,"score":0.5549495816230774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.513149082660675},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.500910758972168},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4418225884437561},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3963348865509033},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2771933376789093},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1797941029071808},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.11670500040054321},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.09543296694755554},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit46573.2021.9453534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit46573.2021.9453534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2561981131","https://openalex.org/W2807414313","https://openalex.org/W3002108456","https://openalex.org/W3002764620","https://openalex.org/W3004280078","https://openalex.org/W3005847234","https://openalex.org/W3006642361","https://openalex.org/W3007580879","https://openalex.org/W3008627141","https://openalex.org/W3009656185","https://openalex.org/W3011176674","https://openalex.org/W3013008917","https://openalex.org/W3013152614","https://openalex.org/W3013874785","https://openalex.org/W3014361833","https://openalex.org/W3016966855","https://openalex.org/W3018801791","https://openalex.org/W3019063064","https://openalex.org/W3019351867","https://openalex.org/W3022421511","https://openalex.org/W3024230195","https://openalex.org/W3035592557","https://openalex.org/W3036309913","https://openalex.org/W3039260411","https://openalex.org/W3042316884","https://openalex.org/W3044276140","https://openalex.org/W3044455566","https://openalex.org/W3044533980","https://openalex.org/W3045199281","https://openalex.org/W3049310425","https://openalex.org/W3060539662","https://openalex.org/W3061808290","https://openalex.org/W3088534488","https://openalex.org/W3094397675","https://openalex.org/W3138250876","https://openalex.org/W4206687407","https://openalex.org/W6772939818","https://openalex.org/W6774504050","https://openalex.org/W6776566781","https://openalex.org/W6777009791","https://openalex.org/W6780959758"],"related_works":["https://openalex.org/W2912153778","https://openalex.org/W4387163678","https://openalex.org/W4288108708","https://openalex.org/W2973430807","https://openalex.org/W4385280324","https://openalex.org/W2984436043","https://openalex.org/W4390245176","https://openalex.org/W2912831041","https://openalex.org/W2890685186","https://openalex.org/W2904359912"],"abstract_inverted_index":{"Currently,":[0],"the":[1,19,58,85,99,105],"global":[2,65],"health":[3,48],"system":[4],"is":[5,39],"suffering":[6],"from":[7,115],"an":[8],"overwhelming":[9],"issue":[10,49],"affecting":[11],"a":[12,74],"large":[13],"number":[14,86,106],"of":[15,40,87,101,107,112],"individuals":[16],"all":[17],"around":[18],"world.":[20],"The":[21],"novel":[22],"coronavirus,":[23],"called":[24],"COVID-19,":[25],"has":[26],"continued":[27],"to":[28,43,72,117],"claim":[29],"more":[30,52],"than":[31],"one":[32],"million":[33],"lives.":[34,53],"In":[35,67],"such":[36],"cases,":[37],"it":[38],"vital":[41],"importance":[42],"develop":[44],"alternatives":[45],"addressing":[46],"this":[47,64,68],"and":[50,94],"saving":[51],"Artificial":[54],"Intelligence":[55],"were":[56],"among":[57],"efficient":[59],"tools":[60],"that":[61],"can":[62],"address":[63],"threat.":[66],"study,":[69],"we":[70],"propose":[71],"test":[73],"recurrent":[75],"neural":[76],"network":[77],"named":[78],"Long":[79],"Short-Term":[80],"Memory":[81],"(LSTM-RNN)":[82],"for":[83],"estimating":[84],"future":[88],"fatality":[89],"cases":[90,109],"in":[91,103],"USA,":[92],"India":[93],"Italy.":[95],"Our":[96],"experimentations":[97],"proved":[98],"effectiveness":[100],"LSTM-RNN":[102],"predicting":[104],"deceased":[108],"with":[110],"minimum":[111],"loss":[113],"ranging":[114],"1.37%":[116],"2.7%.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}