Predicting the number of births in Skåne: a Time Series approach with external regressors
Effective workload planning in Skåne hospitals relies on accurate, data-driven birth forecasts. Weekly and hospital-level predictions are particularly important in the healthcare sector for operational decision-making, including staffing and maternity unit resource allocation. This study develops and evaluates a time series forecasting model capable of predicting weekly birth counts in the Skåne r
