Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data.

Our results outperform most of the state-of-the-art models in LOS prediction both in terms of performance and of interpretability. Data fusion between structured and unstructured text data may significantly improve performance and interpretability.