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Table 1 Risk factors associated with mortality. Description and attribute evaluation

From: Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study

Variable abbreviation Type Group Description Attribute evaluation (weight)
Age N Patient Age in years 0.04767
Sex C Patient Male / Female 0.00168
AHEAD S AIS AIS scale for Traumatic brain injury (0–6) 0.08977
ANECK S AIS AIS scale for neck injury (0–5) 0
AFACE S AIS AIS scale for face injury (0–4) 0.00120
ATHORAX S AIS AIS scale for thorax injury (0–6) 0.00949
AABDOM S AIS AIS scale for abdomen injury (0–6) 0.00373
ASPINE S AIS AIS scale for spine injury (0–6) 0.00380
AUPPEREXT S AIS AIS scale for upper extremity injury (0–4) 0.00507
ALOWEREXT S AIS AIS scale for lower extremity injury (0–5) 0.01186
AEXTERNAL S AIS AIS scale for external and thermal injury (0–6) 0.00245
PointRF S T-RTS Points of Respiratory Frequency (4–0) 0.02438
PointSBP S T-RTS Points of Systolic Blood Pressure (4–0) 0.02855
PointGCS S T-RTS Points of Glasgow Coma Score (4–0) 0.09633
MV C Status Mechanical Ventilation (Yes/No) 0.05836
MASSIVEHEM C Status Massive Haemorrhage (Yes/No) 0.01503
HEMODINAM C Failure Hemodynamic failure (Yes/No) 0.04002
RESPIRATORY C Failure Respiratory failure (Yes/No) 0.02438
AKIDNEY C Failure Kidney failure (Yes/No) 0.02234
COAGULOP C Failure Coagulopathy (Yes/No) 0.02234
  1. N Numerical, C Categorical, S Scale, T-RTS Triage-Revised Trauma Score, AIS Abbreviated Injury Scale. Attribute evaluation (weight): Ranking of attribute with respect to Information Gain Attribute Evaluation method (in bold the most important)