{"id":"https://openalex.org/W4391936807","doi":"https://doi.org/10.1109/bibe60311.2023.00051","title":"Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography","display_name":"Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4391936807","doi":"https://doi.org/10.1109/bibe60311.2023.00051"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe60311.2023.00051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5023441933","display_name":"Rafaela Ravazio","orcid":"https://orcid.org/0000-0003-4729-4993"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rafaela Ravazio","raw_affiliation_strings":["Machine Learning Theory and Applications Lab (MALTA), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Machine Learning Theory and Applications Lab (MALTA), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002445478","display_name":"Christian Mattjie","orcid":"https://orcid.org/0000-0002-3745-8686"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Christian Mattjie","raw_affiliation_strings":["Machine Learning Theory and Applications Lab (MALTA), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Machine Learning Theory and Applications Lab (MALTA), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062110642","display_name":"Lu\u00eds Vin\u00edcius de Moura","orcid":"https://orcid.org/0000-0003-3429-3289"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luis Vinicius De Moura","raw_affiliation_strings":["Machine Learning Theory and Applications Lab (MALTA), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Machine Learning Theory and Applications Lab (MALTA), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046415913","display_name":"Lucas Silveira Kupssinsk\u00fc","orcid":"https://orcid.org/0000-0003-2580-3996"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucas Kupssinsk\u00fc","raw_affiliation_strings":["Machine Learning Theory and Applications Lab (MALTA), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Machine Learning Theory and Applications Lab (MALTA), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039629929","display_name":"Rodrigo C. Barros","orcid":"https://orcid.org/0000-0002-0782-9482"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo C. Barros","raw_affiliation_strings":["Machine Learning Theory and Applications Lab (MALTA), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Machine Learning Theory and Applications Lab (MALTA), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030400291","display_name":"Denise Cantarelli Machado","orcid":"https://orcid.org/0000-0002-9371-5886"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Denise Cantarelli Machado","raw_affiliation_strings":["Graduate Program in Biomedical Gerontology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Biomedical Gerontology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016676023","display_name":"Ana Maria Marques da Silva","orcid":"https://orcid.org/0000-0002-5924-6852"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ana Maria Marques Da Silva","raw_affiliation_strings":["Graduate Program in Radiology, University of São Paulo,São Paulo,Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Radiology, University of São Paulo,São Paulo,Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":"272","last_page":"276"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9999,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9999,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.995,"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/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.5370976}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8837659},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.77581286},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.72663707},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.5370976},{"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":0.5264671},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.36503774},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3623249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3449777},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.34154928},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12747741},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.123003244},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"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/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe60311.2023.00051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","award_id":"001"}],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W2128739912","https://openalex.org/W2295598076","https://openalex.org/W2528857716","https://openalex.org/W2767128594","https://openalex.org/W2911964244","https://openalex.org/W3014561994","https://openalex.org/W3034128626","https://openalex.org/W3035941308","https://openalex.org/W3084067637","https://openalex.org/W3093272769","https://openalex.org/W3103199493","https://openalex.org/W3105326651","https://openalex.org/W3119069471","https://openalex.org/W3128131898","https://openalex.org/W3135092238","https://openalex.org/W3155860808","https://openalex.org/W3158317643","https://openalex.org/W3164076340","https://openalex.org/W4206366444","https://openalex.org/W4221106022","https://openalex.org/W4287643567","https://openalex.org/W4313530813"],"related_works":["https://openalex.org/W4226296940","https://openalex.org/W4205754011","https://openalex.org/W4205215807","https://openalex.org/W4200329650","https://openalex.org/W3134376730","https://openalex.org/W3127156785","https://openalex.org/W3036314732","https://openalex.org/W3028835529","https://openalex.org/W3009669391","https://openalex.org/W3005417802"],"abstract_inverted_index":{"The":[0],"COVID-19":[1,53],"pandemic":[2],"has":[3,11],"overwhelmed":[4],"healthcare":[5],"systems":[6],"worldwide.":[7],"Computed":[8],"tomography":[9],"imaging":[10],"emerged":[12],"as":[13,169],"an":[14,120],"essential":[15],"tool":[16],"in":[17,30,52,98,124,165],"diagnosing":[18],"and":[19,82,104],"monitoring":[20],"cases,":[21],"allowing":[22],"for":[23,49],"the":[24,31,35,47,101,111,114,125,137,160,171,175],"detection":[25],"of":[26,34,113,122,162],"pulmonary":[27],"changes":[28],"even":[29],"early":[32],"stages":[33],"disease.":[36],"This":[37],"study":[38],"introduces":[39],"a":[40,56,61,142,156,166,179],"radiomics-based":[41],"predictive":[42],"model":[43,118,176],"aimed":[44],"at":[45],"predicting":[46],"need":[48,161],"oxygen":[50,163],"support":[51,164],"patients.":[54],"Utilizing":[55],"private":[57],"dataset":[58],"collected":[59],"from":[60,89,136,178],"local":[62],"hospital":[63],"with":[64,146],"81":[65],"patients":[66],"that":[67,131],"underwent":[68],"two":[69,76],"longitudinal":[70],"chest":[71],"CT":[72,181],"scans,":[73],"we":[74],"employed":[75],"machine":[77],"learning":[78],"algorithms,":[79],"Random":[80],"Forest":[81],"XGBoost,":[83],"to":[84,100,109,154,158],"analyze":[85],"radiomic":[86,102,134],"features":[87,97,135],"extracted":[88],"lung":[90],"segmentation.":[91],"We":[92],"also":[93],"explore":[94],"incorporating":[95],"clinical":[96,167],"addition":[99],"ones":[103],"using":[105,133],"feature":[106],"selection":[107],"techniques":[108],"handle":[110],"high-dimensionality":[112],"dataset.":[115],"Our":[116,128],"best":[117],"achieves":[119],"AUC":[121],"0.81":[123],"test":[126],"set.":[127],"results":[129],"indicate":[130],"only":[132],"last":[138],"time":[139],"point":[140],"reach":[141],"higher":[143],"performance":[144],"than":[145],"additional":[147],"data.":[148],"Therefore,":[149],"it":[150],"should":[151],"be":[152],"practical":[153],"implement":[155],"framework":[157],"predict":[159],"setting,":[168],"all":[170],"information":[172],"required":[173],"by":[174],"comes":[177],"single":[180],"scan.":[182]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4391936807","counts_by_year":[],"updated_date":"2025-01-08T20:18:24.159077","created_date":"2024-02-20"}