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In-hospital mortality prediction of trauma patients
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This AI model was trained and evaluated from Korean Trauma patients, and may not be applicable to patients in other countries.
Patient information
Input values
Age
1: Under 1
2: 1~4
3: 5~9
4: 10~14
5: 15~19
6: 20~24
7: 25~29
8: 30~34
9: 35~39
10: 40~44
11: 45~49
12: 50~54
13: 55~59
14: 60~64
15: 65~69
16: 70~74
17: 75~79
18: 80~84
19: 85~89
20: 90~94
21: 95~99
22: 100~104
23: 105~109
24: 110~114
25: 115~119
26: over 120
Gender
Female
Male
Intentionality
1: accidental, unintentional
2: self-harm, suicide
3: violence, assault
4: other specified
5: unspecified
6: data missing
Injury mechanism
1: traffic accident-car
2: traffic accident-bike
3: traffic accident-motorcycle
4: traffic accident-etc.
5: traffic accident-unspecified
6: fall
7: slip down
8: struck
9: firearm/cut/pierce
10: machine
11: fire, flames or heat
12: drowning or nearly
13: poisoning
14: choking, hanging
15: etc.
16: unknown
17: data missing
Emergent symptoms
Yes
No
Unknown
AVPU scale
Alert
Verbal response(drowsy)
Painful response(semicoma)
Unresponsive(coma)
Unknown
Initial KTAS
1: Level 1(Resuscitation)
2: Level 2(Emergency)
3: Level 3(Urgency)
4: Level 4(Less urgency)
5: Level 5(Nonurgency)
6: unknown
7: data missing
Altered KTAS
1: Level 1(Resuscitation)
2: Level 2(Emergency)
3: Level 3(Urgency)
4: Level 4(Less urgency)
5: Level 5(Nonurgency)
6: data missing
Torso procedure-chest
No
Yes
Torso procedure-abdomen
No
Yes
Torso procedure-vascular
No
Yes
Torso procedure-heart
No
Yes
Head surgery
No
Yes
ECMO
No
Yes
Three-digit ICD-10 code (ex. S072, S224, T083)