"Predicting the outcome for COVID-19 patients by applying time series ..."

Davi Silva Rodrigues et al. (2022)

> Home

Details and statistics

DOI: 10.1186/S12911-022-01931-5

access: open

type: Journal Article

metadata version: 2025-03-03

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/midm/RodriguesNMOSFL22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/midm/RodriguesNMOSFL22
Davi Silva Rodrigues, Ana Catharina S. Nastri, Marcello M. Magri, Maura Salaroli de Oliveira, Ester C. Sabino, Pedro H. M. F. Figueiredo, Anna S. Levin, Maristela P. Freire, Leila S. Harima, Fátima L. S. Nunes, João Eduardo Ferreira, Geraldo F. Busatto, Eloisa Bonfá, Edivaldo Utiyama, Aluisio Segurado, Beatriz Perondi, Anna M. Morais, Amanda Montal, Solange Fusco, Marjorie Fregonesi, Marcelo Rocha, Izabel Marcilio, Izabel C. Rios, Fabiane Y. O. Kawano, M. Amelia de Jesus, Esper G. Kallas, Carolina Marmo, Clarice Tanaka, Heraldo P. de Souza, Julio F. M. Marchini, Carlos Carvalho, Juliana C. Ferreira, Thais Guimaraes, Carolina S. Lazari, Alberto J. S. Duarte, M. Cristina P. B. Francisco, Silvia F. Costa:
Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records. BMC Medical Informatics Decis. Mak. 22(1): 187 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.