View in EDS HTML Full Text PDF Full Text

Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records.

Saved in:
Bibliographic Details
Title: Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records.
Authors: Rodrigues, Davi Silva1 (AUTHOR) davisilvarodrigues@gmail.com, Nastri, Ana Catharina S.2 (AUTHOR), Magri, Marcello M.2 (AUTHOR), Oliveira, Maura Salaroli de3 (AUTHOR), Sabino, Ester C.2 (AUTHOR), Figueiredo, Pedro H. M. F.4 (AUTHOR), Levin, Anna S.2,3 (AUTHOR), Freire, Maristela P.3 (AUTHOR), Harima, Leila S.5 (AUTHOR), Nunes, Fátima L. S.1 (AUTHOR), Ferreira, João Eduardo6 (AUTHOR), HCFMUSP COVID-19 Study Group (AUTHOR), Busatto, Geraldo (AUTHOR), Bonfá, Eloisa (AUTHOR), Utiyama, Edivaldo (AUTHOR), Segurado, Aluisio (AUTHOR), Perondi, Beatriz (AUTHOR), Morais, Anna M. (AUTHOR), Montal, Amanda (AUTHOR), Fusco, Solange (AUTHOR)
Source: BMC Medical Informatics & Decision Making. 7/17/2022, Vol. 22 Issue 1, p1-15. 15p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
Description
ISSN:14726947
DOI:10.1186/s12911-022-01931-5