TY  - JOUR
AU  - González-Cebrián, Alba
AU  - Borràs-Ferrís, Joan
AU  - Ordovás-Baines, Juan Pablo
AU  - Hermenegildo-Caudevilla, Marta
AU  - Climente-Marti, Mónica
AU  - Tarazona, Sonia
AU  - Vitale, Raffaele
AU  - Palací-López, Daniel
AU  - Sierra-Sánchez, Jesús Francisco
AU  - Saez de la Fuente, Javier
AU  - Ferrer, Alberto
PY  - 2022
DO  - 10.1371/journal.pone.0274171
UR  - http://hdl.handle.net/10668/20433
T2  - PloS one
AB  - The clinical course of COVID-19 is highly variable. It is therefore essential to predict as early and accurately as possible the severity level of the disease in a COVID-19 patient who is admitted to the hospital. This means identifying the...
LA  - en
KW  - Adult
KW  - COVID-19
KW  - Creatinine
KW  - Hospital Mortality
KW  - Hospitalization
KW  - Humans
KW  - Lactate Dehydrogenases
KW  - Machine Learning
KW  - Retrospective Studies
KW  - Risk Assessment
TI  - Machine-learning-derived predictive score for early estimation of COVID-19 mortality risk in hospitalized patients.
TY  - research article
VL  - 17
ER  -