Let the data speak: analysing data from multiple health centers of the Sao Paulo metropolitan area for COVID-19 clinical deterioration prediction

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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.authorVALERIANO, Maria Gabriela
dc.contributor.authorV, Carlos R. Kiffer
dc.contributor.authorHIGINO, Giane
dc.contributor.authorZANAO, Paloma
dc.contributor.authorBARBOSA, Dulce A.
dc.contributor.authorMOREIRA, Patricia A.
dc.contributor.authorSANTOS, Paulo Caleb J. L.
dc.contributor.authorGRINBAUM, Renato
dc.contributor.authorLORENAT, Ana Carolina
dc.date.accessioned2022-11-25T13:48:17Z
dc.date.available2022-11-25T13:48:17Z
dc.date.issued2022
dc.description.abstractWith the spread of different COVID-19 variants in the Brazilian territory, the national health system has been facing a constant overload. Using data from five different health centers located in the Sao Paulo metropolitan area, this work seeks to identify key common factors associated with the prognosis of COVID-19 severity. The proxies for severity considered are hospitalization time, death and use of mechanical ventilation. The induced models predicted objective short-term COVID-19 clinical deterioration outcomes with AUC, sensitivity and specificity up to 0.880, 0.824 and 0.833, respectively. Parameters such as C-reactive protein and percentage of neutrophils have shown most influence on the predictions. Given the nature of the lab tests highlighted, we note that innate inflammatory status in admission can play a significant role in patient outcome.eng
dc.description.conferencedateMAY 16-19, 2022
dc.description.conferencelocalMessina, ITALY
dc.description.conferencename22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
dc.description.indexWoSeng
dc.description.sponsorshipCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brazil (CAPES) [001]
dc.description.sponsorshipproject ""Data Science fighting outbreaks, epidemics and pandemics in hospitals"" [88887.507037/2020-00]
dc.identifier.citation2022 22ND IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING (CCGRID 2022), p.948-951, 2022
dc.identifier.doi10.1109/CCGrid54584.2022.00115
dc.identifier.isbn978-1-6654-9956-9
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/50290
dc.language.isoeng
dc.publisherIEEE COMPUTER SOCeng
dc.relation.ispartof2022 22nd Ieee/acm International Symposium on Cluster, Cloud and Internet Computing (ccgrid 2022)
dc.rightsrestrictedAccesseng
dc.rights.holderCopyright IEEE COMPUTER SOCeng
dc.subjectCOVID-19 prognosiseng
dc.subjectMachine Learningeng
dc.subjectmulticentric studyeng
dc.subject.wosComputer Science, Hardware & Architectureeng
dc.subject.wosComputer Science, Theory & Methodseng
dc.titleLet the data speak: analysing data from multiple health centers of the Sao Paulo metropolitan area for COVID-19 clinical deterioration predictioneng
dc.typeconferenceObjecteng
dc.type.categoryproceedings papereng
dc.type.versionpublishedVersioneng
dspace.entity.typePublication
hcfmusp.author.externalVALERIANO, Maria Gabriela:Univ Fed Sao Paulo, Inst Ciencia & Tecnol, Sao Jose Dos Campos, Brazil; Inst Tecnol Aeronaut, Dept Ciencia Comp, Sao Jose Dos Campos, Brazil
hcfmusp.author.externalV, Carlos R. Kiffer:Univ Fed Sao Paulo, Disciplina Doencas Infecciosas, Sao Paulo, Brazil; Rede DOr Hosp, Infectol Clin, Sao Caetano do Sul, Brazil
hcfmusp.author.externalHIGINO, Giane:Univ Fed Sao Paulo, Escola Paulista Enfermagem, Sao Paulo, Brazil
hcfmusp.author.externalZANAO, Paloma:Univ Fed Sao Paulo, Escola Paulista Enfermagem, Sao Paulo, Brazil
hcfmusp.author.externalBARBOSA, Dulce A.:Univ Fed Sao Paulo, Escola Paulista Enfermagem, Sao Paulo, Brazil
hcfmusp.author.externalGRINBAUM, Renato:Rede DOr Hosp, Infectol Clin, Sao Caetano do Sul, Brazil
hcfmusp.author.externalLORENAT, Ana Carolina:Inst Tecnol Aeronaut, Dept Ciencia Comp, Sao Jose Dos Campos, Brazil
hcfmusp.citation.scopus2
hcfmusp.contributor.author-fmusphcPATRICIA APARECIDA MOREIRA
hcfmusp.contributor.author-fmusphcPAULO CALEB JUNIOR DE LIMA SANTOS
hcfmusp.description.beginpage948
hcfmusp.description.endpage951
hcfmusp.origemWOS
hcfmusp.origem.scopus2-s2.0-85135759451
hcfmusp.origem.wosWOS:000855065800103
hcfmusp.publisher.cityLOS ALAMITOSeng
hcfmusp.publisher.countryUSAeng
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hcfmusp.scopus.lastupdate2024-06-16
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relation.isAuthorOfPublication.latestForDiscoveryb895ad4d-688f-42d9-9981-bf35acf97154
Arquivos
Coleções
Comunicações em Eventos - FM/Outros
Comunicações em Eventos - COVID-19
Comunicações em Eventos - LIM/13
Comunicações em Eventos - ODS/03