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This document summarizes a research paper on demand forecasting and capacity management for hospitals in Chile. It discusses how neural networks and support vector regression were used to accurately forecast demand for three Chilean hospitals. The forecasts were then used to determine required resources and compare them to available capacity. This allowed the hospitals to take corrective actions when capacity did not meet demand. The forecasting methods and management processes developed in this research we

Author

vj4249

Language

EN