Table 8 Feature weights calculated by information gain applied on 2-classes-dataset of GOS0.

From: Prognosis prediction in traumatic brain injury patients using machine learning algorithms

Row

Feature

Weight

1

Pupil

0.0614

2

Cisterns

0.0560

3

Age

0.0539

4

GCSM0

0.0472

5

Marshall

0.0414

6

INR

0.0345

7

DC

0.0209

8

1st BS

0.0192

9

Shift

0.0186

10

SAH

0.0172

  1. GCSM0: motor component of GCS on admission, INR: international normalized ratio, DC: decompressive craniotomy, BS: blood sugar, SAH: subarachnoid hemorrhage.
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