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Machine learning analysis to predict health outcomes among emergency department users in Southern Brazil: a protocol study

Overview of attention for article published in Revista Brasileira de Epidemiologia, January 2021
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34 Mendeley
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Title
Machine learning analysis to predict health outcomes among emergency department users in Southern Brazil: a protocol study
Published in
Revista Brasileira de Epidemiologia, January 2021
DOI 10.1590/1980-549720210050
Pubmed ID
Authors

Bruno Pereira Nunes, João Vissoci, Felipe Mendes Delpino, Pablo Stolz, Sabrina Ribeiro Farias, Bruna Borges Coelho, Inidiara da Silva Viegas, Denis Carlos Carvalho, Camila Sebaje da Silva Dias, Ana Paula Santana Coelho Almeida, Luiz Augusto Facchini, Alexandre Dias Porto Chiavegatto

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Lecturer 2 6%
Student > Postgraduate 2 6%
Student > Bachelor 2 6%
Librarian 1 3%
Other 2 6%
Unknown 18 53%
Readers by discipline Count As %
Nursing and Health Professions 4 12%
Environmental Science 2 6%
Engineering 2 6%
Medicine and Dentistry 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 4 12%
Unknown 19 56%