From: Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers
Description (Feature name) | Feature value |
---|---|
Age | 0.11057 |
Urea [Moles/volume] in serum or plasma | 0.0499 |
Procalcitonin [Mass/volume] in serum or plasma | 0.0390 |
Albumin/Globulin [Mass ratio] in serum or plasma | 0.0357 |
Magnesium [Moles/volume] in serum or plasma | 0.0314 |
Base excess in blood | 0.0298 |
Creatinine [Moles/volume] in serum or plasma | 0.0289 |
Glomerular filtration rate/1.73 m2predicted[VolumeRate/Area]inserumorplasma by Creatinine-based formula (CKD-EPI) | 0.02623 |
Calcium [Moles/volume] in serum or plasma | 0.0252 |
Erythrocytes [/volume] in blood | 0.02480 |
Carbon dioxide [Partial pressure] in blood | 0.02071 |
Albumin [Mass/volume] in serum or plasma | 0.01949 |
Lymphocytes/100 leukocytes in blood | 0.01921 |
Lactate dehydrogenase [Enzymatic activity/volume] in serum or plasma | 0.0179 |
Ferritin [Mass/volume] in serum or plasma | 0.01778 |
Creatine kinase [Enzymatic activity/volume] in serum or plasma | 0.01737 |
PH of blood | 0.01696 |
C reactive protein [Mass/volume] in serum or plasma | 0.01472 |