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Table 3 Different combinations of features by LRA

From: Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis

Combination of features No. of features HCT PT APTT TT FIB D-dimer R-time K-time α MA CI CRP IL-6 PCT BUN Creatinine AUC
1                 0.7088
2                0.7803
3               0.8101
4              0.8226
5             0.8294
6            0.8319
7           0.8275
8          0.8269
9         0.8285
10        0.8240
11       0.8221
12      0.8147
13     0.8149
14    0.8054
15   0.8040
16 0.7833
  1. Entry in boldface showed highest AUC