Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: Hospitalizations, mortality, and the need for an ICU or ventilator.
- DOI
- 10.1016/j.ijmedinf.2020.104258
- Published
- 2020 Oct
- Container
- International journal of medical informatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijmedinf.2020.104258,
title = {Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: Hospitalizations, mortality, and the need for an ICU or ventilator.},
author = {Wollenstein-Betech S and Cassandras CG and Paschalidis IC},
year = {2020},
journal = {International journal of medical informatics},
doi = {10.1016/j.ijmedinf.2020.104258},
url = {https://doi.org/10.1016/j.ijmedinf.2020.104258}
}RIS
TY - JOUR TI - Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: Hospitalizations, mortality, and the need for an ICU or ventilator. AU - Wollenstein-Betech S AU - Cassandras CG AU - Paschalidis IC PY - 2020 JO - International journal of medical informatics DO - 10.1016/j.ijmedinf.2020.104258 UR - https://doi.org/10.1016/j.ijmedinf.2020.104258 ER -
APA
S, W., CG, C., & IC, P. (2020). Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: Hospitalizations, mortality, and the need for an ICU or ventilator.. International journal of medical informatics. https://doi.org/10.1016/j.ijmedinf.2020.104258
Source records
- pubmed · retrieved 2026-09-27T10:14:27.802Z
- europe-pmc · retrieved 2026-09-27T10:14:27.802Z