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

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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
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  Data: <searchLink fieldCode="JN" term="%22BMC+Medical+Informatics+%26+Decision+Making%22">BMC Medical Informatics & Decision Making</searchLink>. 7/17/2022, Vol. 22 Issue 1, p1-15. 15p.
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