No Data Left Behind: Exogenous Variables in Long-Term Forecasting of Nursing Staff Capacity: Supplementary Material

This supplementary material accompanies the paper "No Data Left Behind: Exogenous Variables in Long-Term Forecasting of Nursing Staff Capacity" accepted at the DSAA 2024, providing additional methodological details that support the findings of the main study and ensure reproducibility. It includes expanded descriptions of the used datasets, search spaces for hyperparameters, detailed configurations for machine learning models,  and supplementary analyses that were not included in the main paper due to space constraints. These additional documents are provided to enhance transparency, allow for deeper insight into the study’s methodology, and facilitate replication or further exploration by interested researchers.