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Forecasting hospital census at a tertiary care children's hospital
Nephi Walton1, Mollie R Poynton, Chris Maloney
1Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Abstract:
Developing a forecasting tool for patient census allows for improved staffing, better resource utilization and mobilization, and improved timing of educational campaigns around the disease control process. Using a neural network approach we evaluated several different models and variables for predicting patient census prospectively. These initial studies enabled selection of a subset of predictor variables and show that different network models, and variables must be used based on the season.
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