From: Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning
Ranking | Feature | Average KL | Ranking | Feature | Average KL |
---|---|---|---|---|---|
1 | Lymph | 0.0421 | 21 | Total Cholesterol | 0.0041 |
2 | LDH | 0.0392 | 22 | Interleukin 6 | 0.0032 |
3 | hs-CRP | 0.0376 | 23 | I sIL-2R | 0.0031 |
4 | Indirect Bilirubin | 0.0324 | 24 | cTnI | 0.0030 |
5 | Creatinine | 0.0302 | 25 | RBCW-SD | 0.0024 |
6 | INR | 0.0235 | 26 | Uric Acid | 0.0023 |
7 | Serum Sodium | 0.0232 | 27 | Corrected Calcium | 0.0022 |
8 | eGFR | 0.0225 | 28 | Interleukin 8 | 0.0019 |
9 | Serum Chloride | 0.0224 | 29 | Prothrombin Time | 0.0018 |
10 | Albumin | 0.0193 | 30 | Serum Potassium | 0.0017 |
11 | Globulin | 0.0177 | 31 | Interleukin 1β | 0.0017 |
12 | Hematocrit | 0.0122 | 32 | D-D dimer | 0.0016 |
13 | Hemoglobin | 0.0091 | 33 | FDP | 0.0016 |
14 | Fibrinogen | 0.0079 | 34 | Antithrombin | 0.0015 |
15 | γ-GT | 0.0079 | 35 | Procalcitonin | 0.0010 |
16 | ESR | 0.0078 | 36 | Platelet Count | 0.0009 |
17 | NT-proBNP | 0.0074 | 37 | WBC | 0.0006 |
18 | APTT | 0.0053 | 38 | Ferritin | 0.0005 |
19 | Eosinophils | 0.0051 | 39 | Interleukin 10 | 0.0004 |
20 | basophil | 0.0049 | 40 | PLT | 0.0004 |