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26/Feb/2024
26/Feb/2024
DOI: 10.31744/einstein_journal/2024AO0328
Highlights Developed models to forecast bed occupancy for up to 14 days and monitored errors for 365 days. Telemedicine calls from COVID-19 patients correlated withthe number of patients hospitalized in the next 8 days. ABSTRACT Objective: To develop and validate predictive models to estimate the number of COVID-19 patients hospitalized in the intensive care units and general wards of a private not-for-profit hospital in São Paulo, Brazil. Methods: Two main models were developed. The first model calculated hospital occupation as […]
Keywords: Big data; Coronavirus infections; COVID-19; Decision support systems, clinical; Forecasting; Pandemics; Resource allocation; Telemedicine