Federica Mandreoli, Federico Motta, Paolo Missier. An HMM-ensemble approach to predict severity progression of ICU treatment for hospitalized COVID-19 patients. In M. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin, editors, 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021. pages 1299-1306, IEEE, 2021. [doi]
@inproceedings{MandreoliMM21,
title = {An HMM-ensemble approach to predict severity progression of ICU treatment for hospitalized COVID-19 patients},
author = {Federica Mandreoli and Federico Motta and Paolo Missier},
year = {2021},
doi = {10.1109/ICMLA52953.2021.00211},
url = {https://doi.org/10.1109/ICMLA52953.2021.00211},
researchr = {https://researchr.org/publication/MandreoliMM21},
cites = {0},
citedby = {0},
pages = {1299-1306},
booktitle = {20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021},
editor = {M. Arif Wani and Ishwar K. Sethi and Weisong Shi and Guangzhi Qu and Daniela Stan Raicu and Ruoming Jin},
publisher = {IEEE},
isbn = {978-1-6654-4337-1},
}