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Potential and limitations of machine meta-learning (ensemble) methods for predicting COVID-19 mortality in a large inhospital Brazilian dataset.

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Title: Potential and limitations of machine meta-learning (ensemble) methods for predicting COVID-19 mortality in a large inhospital Brazilian dataset.
Authors: de Paiva, Bruno Barbosa Miranda1 (AUTHOR), Pereira, Polianna Delfino2,3 (AUTHOR), de Andrade, Claudio Moisés Valiense1 (AUTHOR), Gomes, Virginia Mara Reis4 (AUTHOR), Souza-Silva, Maira Viana Rego4 (AUTHOR), Martins, Karina Paula Medeiros Prado4 (AUTHOR), Sales, Thaís Lorenna Souza5 (AUTHOR), de Carvalho, Rafael Lima Rodrigues3 (AUTHOR), Pires, Magda Carvalho6 (AUTHOR), Ramos, Lucas Emanuel Ferreira6 (AUTHOR), Silva, Rafael Tavares6 (AUTHOR), de Freitas Martins Vieira, Alessandra7 (AUTHOR), Nunes, Aline Gabrielle Sousa8 (AUTHOR), de Oliveira Jorge, Alzira9 (AUTHOR), de Oliveira Maurílio, Amanda10 (AUTHOR), Scotton, Ana Luiza Bahia Alves11 (AUTHOR), da Silva, Carla Thais Candida Alves12 (AUTHOR), Cimini, Christiane Corrêa Rodrigues13 (AUTHOR), Ponce, Daniela14 (AUTHOR), Pereira, Elayne Crestani15 (AUTHOR)
Source: Scientific Reports. 3/1/2023, Vol. 13 Issue 1, p1-18. 18p.
Database: Academic Search Ultimate
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  Data: Potential and limitations of machine meta-learning (ensemble) methods for predicting COVID-19 mortality in a large inhospital Brazilian dataset.
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 3/1/2023, Vol. 13 Issue 1, p1-18. 18p.
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        Value: 10.1038/s41598-023-28579-z
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