{"id":"https://openalex.org/W3135322319","doi":"https://doi.org/10.3390/computers10030031","title":"Prediction of Severity of COVID-19-Infected Patients Using Machine Learning Techniques","display_name":"Prediction of Severity of COVID-19-Infected Patients Using Machine Learning Techniques","publication_year":2021,"publication_date":"2021-03-09","ids":{"openalex":"https://openalex.org/W3135322319","doi":"https://doi.org/10.3390/computers10030031","mag":"3135322319"},"language":"en","primary_location":{"id":"doi:10.3390/computers10030031","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers10030031","pdf_url":"https://www.mdpi.com/2073-431X/10/3/31/pdf?version=1615342928","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-431X/10/3/31/pdf?version=1615342928","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024037777","display_name":"Aziz Alotaibi","orcid":"https://orcid.org/0000-0002-3342-6716"},"institutions":[{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Aziz Alotaibi","raw_affiliation_strings":["Department of Computer Science, College of Computers and Information Technology, Taif University, Taif 26571, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computers and Information Technology, Taif University, Taif 26571, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006423770","display_name":"Mohammad Shiblee","orcid":"https://orcid.org/0000-0002-9565-0027"},"institutions":[{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Mohammad Shiblee","raw_affiliation_strings":["Deanship of University Development, Taif University, Taif 26571, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Deanship of University Development, Taif University, Taif 26571, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084326794","display_name":"Adel Alshahrani","orcid":"https://orcid.org/0000-0001-5939-5340"},"institutions":[{"id":"https://openalex.org/I47164929","display_name":"Najran University","ror":"https://ror.org/05edw4a90","country_code":"SA","type":"education","lineage":["https://openalex.org/I47164929"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Adel Alshahrani","raw_affiliation_strings":["Rehabilitation Sciences Department, College of Applied Medical Sciences, Najran University, Najran 66446, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Rehabilitation Sciences Department, College of Applied Medical Sciences, Najran University, Najran 66446, Saudi Arabia","institution_ids":["https://openalex.org/I47164929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006423770"],"corresponding_institution_ids":["https://openalex.org/I179331831"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":3.8992,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94038704,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"10","issue":"3","first_page":"31","last_page":"31"},"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":0.9865000247955322,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.982699990272522,"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/triage","display_name":"Triage","score":0.8343236446380615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6511532068252563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6273086071014404},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.5693455338478088},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5664921402931213},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5110071897506714},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4836912751197815},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.47243747115135193},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4293856918811798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3984096646308899},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.3872638940811157},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.30231142044067383},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.12717792391777039},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.12247088551521301}],"concepts":[{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.8343236446380615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6511532068252563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6273086071014404},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.5693455338478088},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5664921402931213},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5110071897506714},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4836912751197815},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.47243747115135193},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4293856918811798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3984096646308899},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.3872638940811157},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.30231142044067383},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12717792391777039},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.12247088551521301},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computers10030031","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers10030031","pdf_url":"https://www.mdpi.com/2073-431X/10/3/31/pdf?version=1615342928","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cc451a7135db451ea38b111406836b3d","is_oa":true,"landing_page_url":"https://doaj.org/article/cc451a7135db451ea38b111406836b3d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers, Vol 10, Iss 3, p 31 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computers10030031","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers10030031","pdf_url":"https://www.mdpi.com/2073-431X/10/3/31/pdf?version=1615342928","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3135322319.pdf","grobid_xml":"https://content.openalex.org/works/W3135322319.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W190437827","https://openalex.org/W1963581687","https://openalex.org/W2149723649","https://openalex.org/W2167101736","https://openalex.org/W2223903364","https://openalex.org/W2306794997","https://openalex.org/W2581263672","https://openalex.org/W2766736793","https://openalex.org/W2889920946","https://openalex.org/W2898978534","https://openalex.org/W2911964244","https://openalex.org/W3001118548","https://openalex.org/W3001897055","https://openalex.org/W3008028633","https://openalex.org/W3014874755","https://openalex.org/W3015599879","https://openalex.org/W3036077924","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645","https://openalex.org/W2097367199","https://openalex.org/W2150245501","https://openalex.org/W2122765427","https://openalex.org/W2092622011","https://openalex.org/W2001888429","https://openalex.org/W4361868941"],"abstract_inverted_index":{"Precisely":[0],"assessing":[1],"the":[2,18,25,32,56,65,76,83,120,179,182,185],"severity":[3,77,147,163,180],"of":[4,21,37,67,78,110,122,125,140,146,156,181,187],"persons":[5,79],"with":[6,80,107,164],"COVID-19":[7,81],"at":[8,34],"an":[9,13,89,199],"early":[10,144],"stage":[11],"is":[12,47,60],"effective":[14,90,200],"way":[15],"to":[16,28,64,74,96,161,174,204],"increase":[17],"survival":[19],"rate":[20],"patients.":[22],"Based":[23],"on":[24],"initial":[26,84],"screening,":[27],"identify":[29],"and":[30,99,101,118,133,151,176,184,193,207],"triage":[31],"people":[33],"highest":[35],"risk":[36,44,186],"complications":[38],"that":[39,168,196],"can":[40,87,170,197],"result":[41],"in":[42,45,52,82],"mortality":[43],"patients":[46,95,203],"a":[48,138],"challenging":[49],"problem,":[50],"especially":[51],"developing":[53],"nations":[54],"around":[55],"world.":[57],"This":[58],"problem":[59],"further":[61],"aggravated":[62],"due":[63],"shortage":[66],"specialists.":[68],"Using":[69],"machine":[70,158],"learning":[71,141,159],"(ML)":[72],"techniques":[73,160],"predict":[75,162],"screening":[85],"process":[86],"be":[88,97,171,198,205],"method":[91,201],"which":[92],"would":[93],"enable":[94],"sorted":[98],"treated":[100,208],"accordingly":[102],"receive":[103],"appropriate":[104],"clinical":[105,165],"management":[106],"optimum":[108],"use":[109],"medical":[111],"facilities.":[112],"In":[113],"this":[114],"study,":[115],"we":[116],"applied":[117,173],"evaluated":[119],"effectiveness":[121],"three":[123],"types":[124],"Artificial":[126],"Neural":[127],"Network":[128],"(ANN),":[129],"Support":[130],"Vector":[131],"Machine":[132],"Random":[134],"forest":[135],"regression":[136],"using":[137,148,190],"variety":[139],"methods,":[142],"for":[143,202],"prediction":[145],"patient":[149,183,191],"history":[150,192],"laboratory":[152,194],"findings.":[153],"The":[154],"performance":[155],"different":[157],"features":[166],"shows":[167],"it":[169],"successfully":[172],"precisely":[175],"quickly":[177],"assess":[178],"death":[188],"by":[189],"findings":[195],"triaged":[206],"accordingly.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
