This repository contains the datasets and code to predict the number of incoming patients at emergency department (ED) of Son Espases hospital. The data and methods are described in the paper Forecasting emergency department visits in the reference hospital of the Balearic Islands: the role of tourist and weather data by Crisafulli et al. The files in this repository are the following:
- The jupyter notebook used to obtain the results, plots, and tables.
- The dataset from the hospital of Son Espases that covers all entries from December 26th 2015 to December 31st 2022, except the pandemic period excluded from the analysis. The version uploaded is not the raw one but a clean and aggregated version. The dataset is split into the following files: Y_train.csv (training dataset), Y_validation.csv (validation dataset), Y_test.csv (test dataset), and Y_post-covid.csv (post-COVID dataset). Additional details can be found in the paper.
- The dataset of exogenous variables, containing daily information about calendar, population (resident and tourist), and weather forecasts. This is the clean and one-hot encoded version. The dataset is split into the following files: X_train.csv (training dataset), X_validation.csv (validation dataset), X_test.csv (test dataset), and X_post-covid.csv (post-COVID dataset). Additional details can be found in the paper.
Requests to access the raw data can be made on the following webpage: https://www.ibsalut.es/es/servicio-de-salud/ubicacion-y-contacto