This is the code repository for the paper: Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
authored by: Cabitza, F., Campagner, A., Ferrari, D., Di Resta, C., Ceriotti, D., Sabetta, E., Colombini, A., De Vecchi, E., Banfi, G., Locatelli, M. & Carobene, A.
If you use the materials in this repository, please cite: Cabitza, F., Campagner, A., Ferrari, D., Di Resta, C., Ceriotti, D., Sabetta, E., Colombini, A., De Vecchi, E., Banfi, G., Locatelli, M. & Carobene, A. (2021). Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests. Clinical Chemistry and Laboratory Medicine (CCLM), 59(2), 421-431. https://doi.org/10.1515/cclm-2020-1294
You can also find a web-tool implementing our ML models at: https://covid-19-blood-ml.herokuapp.com/