From: Computational methods for predicting the outcome of thoracic transplantation
Sl No | Rank | Attributes |
---|---|---|
1 | 1 | GENDER |
2 | 2 | ABO |
3 | 3 | TOT_SERUM_ALBUM |
4 | 4 | RESIST_INF |
5 | 5 | INIT_AGE |
6 | 6 | ECMO_TRR |
7 | 7 | CREAT_TRR |
8 | 8 | HEMO_PA_MN_TRR |
9 | 9 | IABP_TRR |
10 | 10 | ACUTE_REJ_EPI |
11 | 11 | GTIME |
12 | 12 | TRTREJ1Y |
13 | 13 | HLAMIS |
14 | 14 | PRAMR_CL2 |
15 | 15 | AGE_DON |
16 | 16 | ABO_DON |
17 | 17 | GENDER_DON |
18 | 18 | DOPAMINE_DON_OLD |
19 | 19 | ABO_MAT |
20 | 20 | AGE |
21 | 21 | ISCHITIME |
22 | 22 | GRF_FAIL_CAUSE |
23 | 23 | AGE_GROUP |
24 | 24 | INOTROP_AGENTS |