Rodrigues, Davi Silva 
; Nastri, Ana Catharina de Seixas Santos ; Magri, Marcello M.; Oliveira, Maura Salaroli de ; Sabino, Ester Cerdeira ; Figueiredo, Pedro H. M. F.; Levin, Anna Sara ; Freire, Maristela P. ; Harima, Leila; Nunes, Fátima L. S.; Ferreira, João Eduardo ; Busatto, Geraldo ; Bonfa, Eloisa Silva Dutra de Oliveira ; Utiyama, Edivaldo Massazo ; Segurado, Aluisio Augusto Cotrim ; Perondi, Beatriz ; Morais, Anna M.; Montal, Amanda ; Fusco, Solange ; Fregonesi, Marjorie; Rocha, Marcelo; Marcílio, Izabel ; Rios, Izabel C; Kawano, Fabiane Y. O.; de Jesus, M. Amelia; Kallas, Esper Georges ; Marmo, Carolina; Tanaka, Clarice ; Souza, Heraldo Possolo de ; Marchini, Julio Flavio ; Carvalho, Carlos; Ferreira, Juliana C.; Guimarães, Thais ; Lazari, Carolina S.; Duarte, Alberto José da Silva; Francisco, M. Cristina P. B.; Costa, Sílvia Figueiredo
Fonte: BMC Medical Informatics and Decision Making. Unidades: FM, EACH, IME, FMRP
Assuntos: COVID-19, SINAIS VITAIS, ANÁLISE DE SÉRIES TEMPORAIS, COMPUTAÇÃO APLICADA
ABNT
RODRIGUES, Davi Silva et al. Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records. BMC Medical Informatics and Decision Making, v. 22, n. artigo 187, 2022Tradução . . Disponível em: https://doi.org/10.1186/s12911-022-01931-5. Acesso em: 20 jun. 2024.APA
Rodrigues, D. S., Nastri, A. C. de S. S., Magri, M. M., Oliveira, M. S. de, Sabino, E. C., Figueiredo, P. H. M. F., et al. (2022). Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records. BMC Medical Informatics and Decision Making, 22( artigo 187). doi:10.1186/s12911-022-01931-5NLM
Rodrigues DS, Nastri AC de SS, Magri MM, Oliveira MS de, Sabino EC, Figueiredo PHMF, Levin AS, Freire MP, Harima L, Nunes FLS, Ferreira JE, Busatto G, Bonfa ESD de O, Utiyama EM, Segurado AAC, Perondi B, Morais AM, Montal A, Fusco S, Fregonesi M, Rocha M, Marcílio I, Rios IC, Kawano FYO, de Jesus MA, Kallas EG, Marmo C, Tanaka C, Souza HP de, Marchini JF, Carvalho C, Ferreira JC, Guimarães T, Lazari CS, Duarte AJ da S, Francisco MCPB, Costa SF. Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records [Internet]. BMC Medical Informatics and Decision Making. 2022 ; 22( artigo 187):[citado 2024 jun. 20 ] Available from: https://doi.org/10.1186/s12911-022-01931-5Vancouver
Rodrigues DS, Nastri AC de SS, Magri MM, Oliveira MS de, Sabino EC, Figueiredo PHMF, Levin AS, Freire MP, Harima L, Nunes FLS, Ferreira JE, Busatto G, Bonfa ESD de O, Utiyama EM, Segurado AAC, Perondi B, Morais AM, Montal A, Fusco S, Fregonesi M, Rocha M, Marcílio I, Rios IC, Kawano FYO, de Jesus MA, Kallas EG, Marmo C, Tanaka C, Souza HP de, Marchini JF, Carvalho C, Ferreira JC, Guimarães T, Lazari CS, Duarte AJ da S, Francisco MCPB, Costa SF. Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records [Internet]. BMC Medical Informatics and Decision Making. 2022 ; 22( artigo 187):[citado 2024 jun. 20 ] Available from: https://doi.org/10.1186/s12911-022-01931-5
