{"id":"https://openalex.org/W4403535129","doi":"https://doi.org/10.1109/codit62066.2024.10708237","title":"Detecting COVID-19 by analysing blood features using SVM-RGS","display_name":"Detecting COVID-19 by analysing blood features using SVM-RGS","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4403535129","doi":"https://doi.org/10.1109/codit62066.2024.10708237"},"language":"en","primary_location":{"id":"doi:10.1109/codit62066.2024.10708237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th 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/A5065114420","display_name":"Zina Nakhla","orcid":"https://orcid.org/0000-0003-2039-9605"},"institutions":[{"id":"https://openalex.org/I4210140729","display_name":"Institut Sup\u00e9rieur de Gestion de Tunis","ror":"https://ror.org/04w9mdw91","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4210140729"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Zina Nakhla","raw_affiliation_strings":["Universit&#x00E9; de Tunis,Institut Sup&#x00E9;rieur de Gestion de Tunis BESTMOD Laboratory,Tunis,Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Tunis,Institut Sup&#x00E9;rieur de Gestion de Tunis BESTMOD Laboratory,Tunis,Tunisia","institution_ids":["https://openalex.org/I4210140729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032746075","display_name":"Kaouther Nouira","orcid":"https://orcid.org/0000-0002-9001-3686"},"institutions":[{"id":"https://openalex.org/I4210140729","display_name":"Institut Sup\u00e9rieur de Gestion de Tunis","ror":"https://ror.org/04w9mdw91","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4210140729"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Kaouther Nouira","raw_affiliation_strings":["Universit&#x00E9; de Tunis,Institut Sup&#x00E9;rieur de Gestion de Tunis BESTMOD Laboratory,Tunis,Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Tunis,Institut Sup&#x00E9;rieur de Gestion de Tunis BESTMOD Laboratory,Tunis,Tunisia","institution_ids":["https://openalex.org/I4210140729"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114319955","display_name":"Azza Gamgami","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140729","display_name":"Institut Sup\u00e9rieur de Gestion de Tunis","ror":"https://ror.org/04w9mdw91","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4210140729"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Azza Gamgami","raw_affiliation_strings":["Universit&#x00E9; de Tunis,Institut Sup&#x00E9;rieur de Gestion de Tunis BESTMOD Laboratory,Tunis,Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Tunis,Institut Sup&#x00E9;rieur de Gestion de Tunis BESTMOD Laboratory,Tunis,Tunisia","institution_ids":["https://openalex.org/I4210140729"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210140729"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"2851","last_page":"2856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9954000115394592,"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":0.9954000115394592,"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":0.9205999970436096,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9182000160217285,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7281841039657593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6085008978843689},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.5458153486251831},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5227991938591003},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5079410672187805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38407641649246216},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.257710337638855},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18875688314437866},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.04763895273208618}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7281841039657593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6085008978843689},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.5458153486251831},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.5227991938591003},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5079410672187805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38407641649246216},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.257710337638855},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18875688314437866},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.04763895273208618},{"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/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"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/codit62066.2024.10708237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W3007814559","https://openalex.org/W3010223921","https://openalex.org/W3010260666","https://openalex.org/W3016126001","https://openalex.org/W3022122691","https://openalex.org/W3025504737","https://openalex.org/W3038925693","https://openalex.org/W3041882591","https://openalex.org/W3124168144","https://openalex.org/W4307150871","https://openalex.org/W4385478564","https://openalex.org/W6635042280"],"related_works":["https://openalex.org/W3036314732","https://openalex.org/W3009669391","https://openalex.org/W3176864053","https://openalex.org/W4206669628","https://openalex.org/W3171943759","https://openalex.org/W4292098121","https://openalex.org/W3154141118","https://openalex.org/W4388896133","https://openalex.org/W3031607536","https://openalex.org/W4205317059"],"abstract_inverted_index":{"During":[0],"the":[1,11,24,35,48,59,89],"recent":[2],"global":[3],"urgency,":[4],"scientists,":[5],"clinicians,":[6],"and":[7,64],"healthcare":[8],"experts":[9],"around":[10],"globe":[12],"keep":[13],"on":[14,34,82],"searching":[15],"for":[16,102,106],"a":[17,42,74,100],"new":[18,43],"technology":[19],"to":[20,45,69,76],"support":[21],"in":[22],"tackling":[23],"Covid-19":[25],"pandemic.":[26],"The":[27],"evidence":[28],"of":[29,94,111],"Machine":[30],"Learning":[31],"(ML)":[32],"application":[33],"previous":[36],"epidemic":[37],"encourage":[38],"researchers":[39],"by":[40,79],"giving":[41],"angle":[44],"fight":[46],"against":[47],"novel":[49],"Coronavirus":[50],"outbreak.":[51],"We":[52],"propose":[53],"an":[54,109],"RGS\u2013SVM":[55],"model":[56],"which":[57,71,97],"combines":[58],"Randomized":[60],"Grid":[61],"Search":[62],"(RGS)":[63],"Support":[65],"Vector":[66],"Machines":[67],"(SVM)":[68],"predict":[70],"patients":[72],"have":[73,99],"tendency":[75,101],"be":[77],"attacked":[78],"coronavirus":[80],"basing":[81],"blood":[83],"indicators.":[84],"Finally,":[85],"we":[86],"proved":[87],"that":[88],"proposed":[90],"algorithm":[91],"is":[92],"capable":[93],"identifying":[95],"persons":[96],"are":[98],"being":[103],"tested":[104],"positive":[105],"covid-19":[107],"with":[108],"Accuracy":[110],"87.90%.":[112]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
