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

• Main Authors: Felipe Mendes Delpino (Author), Lílian Munhoz Figueiredo (Author), Ândria Krolow Costa (Author), Ioná Carreno (Author), Luan Nascimento da Silva (Author), Alana Duarte Flores (Author), Milena Afonso Pinheiro (Author), Eloisa Porciúncula da Silva (Author), Gabriela Ávila Marques (Author), Mirelle de Oliveira Saes (Author), Suele Manjourany Silva Duro (Author), Luiz Augusto Facchini (Author), João Ricardo Nickenig Vissoci (Author), Thaynã Ramos Flores (Author), Flávio Fernando Demarco (Author), Cauane Blumenberg (Author), Alexandre Dias Porto Chiavegatto Filho (Author), Inácio Crochemore da Silva (Author), Sandro Rodrigues Batista (Author), Ricardo Alexandre Arcêncio (Author), Bruno Pereira Nunes (Author)
• Format: Book
• Published: Associação Brasileira de Pós-Graduação em Saúde Coletiva, 2023-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

RESUMO 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 adult...