Lorenzo Famiglini, Giorgio Bini, Anna Carobene, Andrea Campagner, Federico Cabitza. Prediction of ICU admission for COVID-19 patients: a Machine Learning approach based on Complete Blood Count data. In João Rafael Almeida, Alejandro Rodríguez González, LinLin Shen, Bridget Kane, Agma Traina, Paolo Soda, José Luís Oliveira, editors, 34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021, Aveiro, Portugal, June 7-9, 2021. pages 160-165, IEEE, 2021. [doi]
@inproceedings{FamigliniBCCC21,
title = {Prediction of ICU admission for COVID-19 patients: a Machine Learning approach based on Complete Blood Count data},
author = {Lorenzo Famiglini and Giorgio Bini and Anna Carobene and Andrea Campagner and Federico Cabitza},
year = {2021},
doi = {10.1109/CBMS52027.2021.00065},
url = {https://doi.org/10.1109/CBMS52027.2021.00065},
researchr = {https://researchr.org/publication/FamigliniBCCC21},
cites = {0},
citedby = {0},
pages = {160-165},
booktitle = {34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021, Aveiro, Portugal, June 7-9, 2021},
editor = {João Rafael Almeida and Alejandro Rodríguez González and LinLin Shen and Bridget Kane and Agma Traina and Paolo Soda and José Luís Oliveira},
publisher = {IEEE},
isbn = {978-1-6654-4121-6},
}