BMC Medical Research Methodology

Table 2 Demographic and clinical characteristics of patients according to traumatic injuries

From: Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms

Variable	Traumatic Injuries Outcome				Total
	Alive		Dead
	N	%	N	%	N	%	P-value^a
All	117	92.9	9	7.1	126	100
Sex
Male	79	92.9	6	7.1	85	67.4	0.609
Female	38	92.7	3	7.3	41	32.6
Type of trauma
Blunt	95	96	4	4	99	78.6	0.022
Penetrating	22	81.5	5	18.5	27	21.4
Location of injuries
Head and Neck	33	97.1	1	2.9	34	27	0.175
Thorax	12	100	0	0	12	9.5
Abdomen and Pelvic	4	100	0	0	4	3.2
Spinal	3	100	0	0	3	2.4
Extremities	16	100	0	0	16	12.7
Multi injuries	49	86	8	14	57	45.2
GCS
Minor	79	100	0	0	79	62.7	0.001
Moderate	32	91.4	3	8.6	35	27.8
Severe	6	50	6	50	12	9.5
Age(year): Mean ± SD	37.52 ± 12.76		40.22 ± 13.48		p-value ^b	0.543
LOS (day): Mean ± SD	4.17 ± 4.77		1.56 ± 0.73		p-value ^c	0.105
WBC: Mean ± SD	9066.67 ± 2938.57		15,500 ± 4492.22			< 0.001

LOS Length of stay in ICU, WBC White blood cells, GCS Glasgow coma scale, SD Standard deviation
^aChi-square test
^bT-test
^cMann-Whitney Test

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ISSN: 1471-2288

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