{"id":"https://openalex.org/W4214818142","doi":"https://doi.org/10.1109/dese54285.2021.9719584","title":"Machine Learning Based Prediction Models for the Percentage Deaths Due to COVID-19","display_name":"Machine Learning Based Prediction Models for the Percentage Deaths Due to COVID-19","publication_year":2021,"publication_date":"2021-12-07","ids":{"openalex":"https://openalex.org/W4214818142","doi":"https://doi.org/10.1109/dese54285.2021.9719584"},"language":"en","primary_location":{"id":"doi:10.1109/dese54285.2021.9719584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dese54285.2021.9719584","pdf_url":null,"source":{"id":"https://openalex.org/S4363608546","display_name":"2021 14th International Conference on Developments in eSystems Engineering (DeSE)","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":"2021 14th International Conference on Developments in eSystems Engineering (DeSE)","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/A5075083686","display_name":"Anwar Jarndal","orcid":"https://orcid.org/0000-0002-1873-2088"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Anwar Jarndal","raw_affiliation_strings":["University of Sharjah,Electrical Engineering Department,Sharjah,UAE","Electrical Engineering Department, University of Sharjah, Sharjah, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sharjah,Electrical Engineering Department,Sharjah,UAE","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Electrical Engineering Department, University of Sharjah, Sharjah, UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053709677","display_name":"Saddam Husain","orcid":"https://orcid.org/0000-0001-9830-5133"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Saddam Husain","raw_affiliation_strings":["University of Sharjah,Electrical Engineering Department,Sharjah,UAE","Electrical Engineering Department, University of Sharjah, Sharjah, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sharjah,Electrical Engineering Department,Sharjah,UAE","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Electrical Engineering Department, University of Sharjah, Sharjah, UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078230989","display_name":"Maha S. Diab","orcid":"https://orcid.org/0000-0003-0485-4882"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Maha S. Diab","raw_affiliation_strings":["University of Sharjah,Electrical Engineering Department,Sharjah,UAE","Electrical Engineering Department, University of Sharjah, Sharjah, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sharjah,Electrical Engineering Department,Sharjah,UAE","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Electrical Engineering Department, University of Sharjah, Sharjah, UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010917278","display_name":"Amir Shikhli","orcid":"https://orcid.org/0000-0002-5293-6121"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Amir Shikhli","raw_affiliation_strings":["Sustainable Engineering Asset Management Research Group University of Sharjah,Sharjah,UAE","Sustainable Engineering Asset Management Research Group University of Sharjah, Sharjah, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sustainable Engineering Asset Management Research Group University of Sharjah,Sharjah,UAE","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Sustainable Engineering Asset Management Research Group University of Sharjah, Sharjah, UAE","institution_ids":["https://openalex.org/I29891158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3027,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48978047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"418","last_page":"423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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":0.9998999834060669,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"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/T10041","display_name":"COVID-19 Clinical Research Studies","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.686487078666687},{"id":"https://openalex.org/keywords/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.6852649450302124},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6651737689971924},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.6488158702850342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6487528085708618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6403868198394775},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.640112042427063},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.61592698097229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6030904650688171},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5878005027770996},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5450776219367981},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4733926057815552},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4577019214630127},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4240192472934723},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4221903085708618},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.413381427526474},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.2519418001174927},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20636752247810364},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13540658354759216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11333784461021423}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.686487078666687},{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.6852649450302124},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6651737689971924},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.6488158702850342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6487528085708618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6403868198394775},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.640112042427063},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.61592698097229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6030904650688171},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5878005027770996},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5450776219367981},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4733926057815552},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4577019214630127},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4240192472934723},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4221903085708618},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.413381427526474},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2519418001174927},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20636752247810364},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13540658354759216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11333784461021423},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dese54285.2021.9719584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dese54285.2021.9719584","pdf_url":null,"source":{"id":"https://openalex.org/S4363608546","display_name":"2021 14th International Conference on Developments in eSystems Engineering (DeSE)","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":"2021 14th International Conference on Developments in eSystems Engineering (DeSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.550000011920929,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1964357740","https://openalex.org/W2101234009","https://openalex.org/W2124776405","https://openalex.org/W2141057577","https://openalex.org/W3009876049","https://openalex.org/W3016143592","https://openalex.org/W3016540417","https://openalex.org/W3017403618","https://openalex.org/W3020956169","https://openalex.org/W3021001507","https://openalex.org/W3025352604","https://openalex.org/W3026481086","https://openalex.org/W3032502637","https://openalex.org/W3033616466","https://openalex.org/W3038821093","https://openalex.org/W3039033741","https://openalex.org/W3041256717","https://openalex.org/W3047144258","https://openalex.org/W3049131889","https://openalex.org/W3104978702","https://openalex.org/W6675354045","https://openalex.org/W6775696669"],"related_works":["https://openalex.org/W2836686220","https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4213064089","https://openalex.org/W4387048144","https://openalex.org/W2492135063"],"abstract_inverted_index":{"Worldwide":[0],"COVID-19":[1,44,61],"pandemic":[2],"is":[3,35],"currently":[4],"affecting":[5],"all":[6],"countries":[7],"and":[8,78,95,118,144],"led":[9],"to":[10,25,36,109,177],"loss":[11],"of":[12,17,32,69],"human":[13],"life.":[14],"A":[15],"lot":[16],"scientific":[18],"research":[19],"are":[20,107,116,160],"conducted":[21],"in":[22,42,130],"different":[23],"areas":[24],"improve":[26],"the":[27,33,49,111,125,150,173],"future":[28],"response.":[29,51],"The":[30,133,168],"purpose":[31],"project":[34],"use":[37],"Machine":[38],"learning":[39],"(ML)":[40],"techniques":[41],"predicting":[43],"deaths":[45,62],"which":[46,148],"will":[47],"enhance":[48],"hospitals":[50],"This":[52],"paper":[53],"contributes":[54],"by":[55,124],"developing":[56],"models":[57,115,135,159],"that":[58,156],"can":[59],"predict":[60],"based":[63],"on":[64],"three":[65],"factors:":[66],"total":[67],"number":[68],"elderly":[70],"patients":[71],"(greater":[72],"than":[73,163],"65":[74],"years),":[75],"diabetic":[76],"patients,":[77],"smoking":[79],"patients.":[80],"Gaussian":[81],"Process":[82],"Regression":[83,87],"(GPR),":[84],"Support":[85],"Vector":[86],"(SVR),":[88],"Artificial":[89,96],"Neural":[90,97],"Network-Multi":[91],"Layer":[92],"Perceptron":[93],"(ANN-MLP),":[94],"Network-":[98],"nonlinear":[99],"autoregressive":[100],"network":[101],"with":[102,140],"exogenous":[103],"inputs":[104],"(ANN-NARX)":[105],"approaches":[106],"used":[108],"build":[110],"predictive":[112,158,170],"models.":[113,179],"All":[114],"trained":[117],"tested":[119],"using":[120],"trusted":[121],"data":[122],"reported":[123],"World":[126],"Health":[127],"Organization":[128],"(WHO)":[129],"various":[131],"countries.":[132],"developed":[134],"revealed":[136],"very":[137],"good":[138],"results":[139],"excellent":[141],"prediction":[142],"rate":[143],"performance,":[145],"especially":[146],"GPR,":[147],"has":[149],"best":[151,174],"performance.":[152],"Also,":[153],"it":[154],"showed":[155,172],"region-based":[157],"more":[161],"suitable":[162],"a":[164],"single":[165],"general":[166],"model.":[167],"GPR":[169],"model":[171],"performance":[175],"compared":[176],"other":[178]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
