Desenvolvimento de modelo auto-regressivo para previsão em pronto-atendimento

The 1988 constitution makes an life is a supreme good when increased health as the fundamental condition requiring that all ill patient has the right to be treated in a public hospital (CF, art. 196). In this sense, the goal of this work is to generate a weekly forecast of hospital care by means of an advanced prediction model. It is expected that the model of self-regressivas seasonal moving averages SARIMA generate reliable and adherent to issue forecasts analyzed, thus enabling better resource allocation and more efficient hospital management

Capacidade de adesão, invasão e produção de enterotoxinas de Staphylococcus aureus isolados de leite de vacas com mastite subclínica e leite humano de um banco de leite

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)