Emergency department use and Artificial Intelligence in Pelotas: design and baseline results.
Felipe Mendes DelpinoLílian Munhoz FigueiredoÂndria Krolow CostaIoná CarrenoLuan Nascimento da SilvaAlana Duarte FloresMilena Afonso PinheiroEloisa Porciúncula da SilvaGabriela Ávila MarquesMirelle de Oliveira SaesSuele Manjourany Silva DuroLuiz Augusto FacchiniJoão Ricardo Nickening VissociThaynã Ramos FloresFlavio Fernando DemarcoCauane BlumenbergAlexandre Dias Porto Chiavegatto FilhoInácio Crochemore Mohnsam da SilvaSandro Rogério Rodrigues BatistaRicardo Alexandre ArcêncioBruno Pereira NunesPublished in: Revista brasileira de epidemiologia = Brazilian journal of epidemiology (2023)
The present paper presented a protocol describing the steps that were and will be taken to produce a model capable of predicting the demand for urgent and emergency services in one year among residents of Pelotas, in Rio Grande do Sul state.