{"id":"https://openalex.org/W3097035894","doi":"https://doi.org/10.13053/cys-24-3-3366","title":"Automatic System for COVID-19 Diagnosis","display_name":"Automatic System for COVID-19 Diagnosis","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3097035894","doi":"https://doi.org/10.13053/cys-24-3-3366","mag":"3097035894"},"language":"es","primary_location":{"id":"doi:10.13053/cys-24-3-3366","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-24-3-3366","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","raw_type":"journal-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/A5061099557","display_name":"Seyyid Ahmed Medjahed","orcid":"https://orcid.org/0000-0003-2135-0264"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Seyyid Ahmed Medjahed","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113507798","display_name":"Mohammed Ouali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed Ouali","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061099557"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1101,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51570312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"24","issue":"3","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":0.9994999766349792,"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":0.9994999766349792,"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/T10862","display_name":"AI in cancer detection","score":0.9907000064849854,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9621000289916992,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7747744917869568},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7318427562713623},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6478956937789917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.611651599407196},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5899530649185181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5599114894866943},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.49794816970825195},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.47026166319847107},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4504373073577881},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3640943467617035},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2736737132072449},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.2555074393749237},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.23793423175811768},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.15503749251365662},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.1436360478401184},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.13630956411361694}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7747744917869568},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7318427562713623},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6478956937789917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.611651599407196},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5899530649185181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5599114894866943},{"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":0.49794816970825195},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.47026166319847107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4504373073577881},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3640943467617035},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2736737132072449},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2555074393749237},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.23793423175811768},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.15503749251365662},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.1436360478401184},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.13630956411361694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.13053/cys-24-3-3366","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-24-3-3366","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7799999713897705,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W3003453726"],"related_works":["https://openalex.org/W4200329650","https://openalex.org/W3127156785","https://openalex.org/W3009669391","https://openalex.org/W4205215807","https://openalex.org/W4205317059","https://openalex.org/W3005417802","https://openalex.org/W3084498529","https://openalex.org/W3171943759","https://openalex.org/W4226296940","https://openalex.org/W3036314732"],"abstract_inverted_index":{"During":[0],"the":[1,4,26,42,78,88,102],"last":[2,99],"months,":[3],"virus":[5],"COVID":[6,60],"19":[7,61],"spread":[8],"globally,":[9],"quickly":[10],"and":[11,32,46],"affected":[12],"many":[13],"people.":[14],"This":[15,66],"last,":[16],"is":[17,68,77,87,101,110],"an":[18],"infection":[19],"caused":[20],"by":[21,49,128],"severe":[22],"acute":[23],"respiratory.":[24],"Unfortunately,":[25],"number":[27],"of":[28,35,44,59,70,112],"cases":[29],"increases":[30],"significantly":[31],"early":[33],"diagnosis":[34,62],"this":[36,53,108],"disease":[37],"can":[38],"help":[39],"to":[40],"save":[41],"health":[43],"patient":[45],"his":[47],"entourage":[48],"stopping":[50],"contamination.":[51],"In":[52],"paper,":[54],"we":[55],"propose":[56],"a":[57,93],"process":[58,67],"in":[63,107,124],"Chest":[64],"X-rays.":[65],"composed":[69,111],"three":[71],"main":[72],"steps.":[73],"The":[74,84,98,104,117],"first":[75],"one":[76,86],"feature":[79,89,95],"extraction":[80],"using":[81,92],"four":[82,113],"approaches.":[83,116],"second":[85],"selection":[90,96],"phase":[91,100],"new":[94],"approach.":[97],"classification.":[103],"classifier":[105],"used":[106],"approach":[109],"supervised":[114],"classification":[115],"proposed":[118],"work":[119],"has":[120],"been":[121],"tested":[122],"COVID-19":[123],"X-ray":[125],"images":[126],"obtained":[127],"PyImageSearch.":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}