Emergency department use and Artificial Intelligence in Pelotas: design and baseline results

OBJETIVO: To describe the initial baseline results of a population-based study, as well as a protocol in order to evaluate the performance of different machine learning algorithms with the objective of predicting the demand for urgent and emergency services in a representative sample of adults from...

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Détails bibliographiques
Auteurs principaux: Delpino, Felipe Mendes, Figueiredo, Lílian Munhoz, Costa, Ândria Krolow, Carreno, Ioná, da Silva, Luan Nascimento, Flores, Alana Duarte, Pinheiro, Milena Afonso, da Silva, Eloisa Porciúncula, Marques, Gabriela Ávila, Saes, Mirelle de Oliveira, Duro, Suele Manjourany Silva, Facchini, Luiz Augusto, Vissoci, João Ricardo Nickenig, Flores, Thaynã Ramos, Demarco, Flávio Fernando, Blumenberg, Cauane, Chiavegatto, Alexandre Dias Porto, da Silva, Inácio Crochemore, Batista, Sandro Rodrigues, Arcêncio, Ricardo Alexandre, Nunes, Bruno Pereira
Format: Online Article Texte
Langue:English
Publié: Associação Brasileira de Saúde Coletiva 2023
Sujets:
Artigo Original
Accès en ligne:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000014/
https://www.ncbi.nlm.nih.gov/pubmed/36921129
http://dx.doi.org/10.1590/1980-549720230021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000014/
https://www.ncbi.nlm.nih.gov/pubmed/36921129
http://dx.doi.org/10.1590/1980-549720230021

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