Machine learning for IV to oral antibiotic switching

This repository contains the code used for the paper "Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning": https://www.nature.com/articles/s41467-024-44740-2

Note the MIMIC-IV antibiotic.csv file can be found in Google bigquery by following: physionet-data -> mimic_derived -> antibiotic

If you use this code please cite this code repository and our associated publication.

@software{will_bolton_2023_10251521, author = {Will Bolton}, title = {WilliamBolton/iv_to_oral: First release}, month = dec, year = 2023, publisher = {Zenodo}, version = {v1.0.0}, doi = {10.5281/zenodo.10251521}, url = {https://doi.org/10.5281/zenodo.10251521} }

@article{bolton_personalising_2024, title = {Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning}, volume = {15}, copyright = {2024 The Author(s)}, issn = {2041-1723}, url = {https://www.nature.com/articles/s41467-024-44740-2}, doi = {10.1038/s41467-024-44740-2}, language = {en}, number = {1}, journal = {Nature Communications}, author = {Bolton, William J. and Wilson, Richard and Gilchrist, Mark and Georgiou, Pantelis and Holmes, Alison and Rawson, Timothy M.}, month = jan, year = {2024}, note = {Publisher: Nature Publishing Group}, keywords = {Bacterial infection, Computer science, Predictive markers, Signs and symptoms}, }