 Using clinical  data from a large cohort of over 14 ,000  patients, we modeled the four adverse outcomes utilizing about 600 features representing patients' before-COVID health records . Overall, the best predictions were obtained from extreme and gradient boosting models. The median AUC ROC for mortality prediction was 0.91, while the prediction performance ranged between 0.79 and 0.83 for ICU, hospitalization, and ventilation.
<meaning-changed>  Using clinical  data from a large cohort of over 14 ,000  patients, we modeled the four adverse outcomes utilizing about 600 features representing patients' before-COVID health records . Overall, the best predictions were obtained from extreme and gradient boosting models. The median AUC ROC for mortality prediction was 0.91, while the prediction performance ranged between 0.79 and 0.83 for ICU, hospitalization, and ventilation.
 Using clinical data from a large cohort of over 14 ,000 patients, we modeled the four adverse outcomes utilizing about 600 features representing patients' pre-COVID health records and demographics. The mean AUC ROC for mortality prediction was 0.91, while the prediction performance ranged between 0.79 and 0.83 for ICU, hospitalization, and ventilation.