{"id":"https://openalex.org/W4200157170","doi":"https://doi.org/10.1109/bibe52308.2021.9635181","title":"An Analysis of Feature Selection Techniques For COVID-19 Detection on Chest X-Ray Data","display_name":"An Analysis of Feature Selection Techniques For COVID-19 Detection on Chest X-Ray Data","publication_year":2021,"publication_date":"2021-10-25","ids":{"openalex":"https://openalex.org/W4200157170","doi":"https://doi.org/10.1109/bibe52308.2021.9635181"},"language":"en","primary_location":{"id":"doi:10.1109/bibe52308.2021.9635181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe52308.2021.9635181","pdf_url":null,"source":{"id":"https://openalex.org/S4363608533","display_name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","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 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","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/A5043719876","display_name":"Andre L. Jeller Selleti","orcid":null},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andre L. Jeller Selleti","raw_affiliation_strings":["Graduate Program in Computer Science (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Program in Computer Science (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088179577","display_name":"Carlos N. Silla","orcid":"https://orcid.org/0000-0002-1603-9378"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlos N. Silla","raw_affiliation_strings":["Graduate Program in Computer Science (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Program in Computer Science (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I176838256"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24728781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10862","display_name":"AI in cancer detection","score":0.9922000169754028,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9785000085830688,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8024882674217224},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7315220236778259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.725888729095459},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7161065340042114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6229798197746277},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6031700968742371},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5800428986549377},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.539998471736908},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.5350220203399658},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5084525346755981},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4672408401966095},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4661354422569275},{"id":"https://openalex.org/keywords/coronavirus","display_name":"Coronavirus","score":0.4549824595451355},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.4285171627998352},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.4119448661804199},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39475610852241516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3522690534591675},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2137838900089264},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.11418917775154114},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09173917770385742}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8024882674217224},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7315220236778259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.725888729095459},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7161065340042114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6229798197746277},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6031700968742371},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5800428986549377},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.539998471736908},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.5350220203399658},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5084525346755981},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4672408401966095},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4661354422569275},{"id":"https://openalex.org/C2777648638","wikidata":"https://www.wikidata.org/wiki/Q57751738","display_name":"Coronavirus","level":5,"score":0.4549824595451355},{"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":0.4285171627998352},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.4119448661804199},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39475610852241516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3522690534591675},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2137838900089264},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.11418917775154114},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09173917770385742},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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":1,"locations":[{"id":"doi:10.1109/bibe52308.2021.9635181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe52308.2021.9635181","pdf_url":null,"source":{"id":"https://openalex.org/S4363608533","display_name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","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 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8700000047683716,"display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1502160187","https://openalex.org/W1607979445","https://openalex.org/W1964762821","https://openalex.org/W2039051707","https://openalex.org/W2088950943","https://openalex.org/W2089575713","https://openalex.org/W2092939357","https://openalex.org/W2109293916","https://openalex.org/W2130949063","https://openalex.org/W2143426320","https://openalex.org/W2155524176","https://openalex.org/W2183341477","https://openalex.org/W2411885377","https://openalex.org/W2498119267","https://openalex.org/W2590762055","https://openalex.org/W2768348081","https://openalex.org/W2790253618","https://openalex.org/W3010223921","https://openalex.org/W3014337038","https://openalex.org/W3021001507","https://openalex.org/W3038780555","https://openalex.org/W3042045210","https://openalex.org/W3042239862","https://openalex.org/W3080568059","https://openalex.org/W3089349608","https://openalex.org/W3089460656","https://openalex.org/W3090867153","https://openalex.org/W3096523314","https://openalex.org/W3119464161","https://openalex.org/W3142371777","https://openalex.org/W3153699501","https://openalex.org/W3155958087","https://openalex.org/W3162751961","https://openalex.org/W3171003012","https://openalex.org/W3171879003","https://openalex.org/W3174231797","https://openalex.org/W6630005630","https://openalex.org/W6676746716","https://openalex.org/W6745609711","https://openalex.org/W7015098694"],"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":{"We":[0],"are":[1,15],"currently":[2],"experiencing":[3],"a":[4],"worldwide":[5],"health":[6],"problem":[7],"known":[8],"as":[9,116,118],"the":[10,27,30,36,51,69,80,99,104,112],"coronavirus":[11,115],"pandemic,":[12],"many":[13],"researchers":[14],"looking":[16],"to":[17,24,45,48,79],"help":[18],"in":[19,92],"any":[20],"way":[21],"they":[22],"can":[23,110],"deal":[25],"with":[26,50,76],"pandemic":[28],"and":[29,60,88],"problems":[31],"caused":[32],"by":[33],"it.":[34],"In":[35,64],"context":[37],"of":[38,53,58,71,82,98,106,114],"machine":[39,61],"learning":[40,62],"research,":[41],"it":[42],"is":[43],"possible":[44],"develop":[46],"methods":[47,75,109],"assist":[49],"screening":[52],"patients":[54],"using":[55],"different":[56,72,77],"types":[57],"exams":[59],"techniques.":[63],"this":[65],"paper,":[66],"we":[67],"investigate":[68],"use":[70],"features":[73],"selection":[74,108],"classifiers":[78],"task":[81],"covid-19":[83],"(and":[84],"other":[85,119],"five":[86],"pathologies":[87],"healthy":[89],"lungs)":[90],"identification":[91],"chest":[93],"x-rays":[94],"images.":[95],"The":[96],"analysis":[97],"experimental":[100],"results":[101],"shows":[102],"that":[103],"application":[105],"feature":[107],"improve":[111],"detection":[113],"well":[117],"pathologies.":[120]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}