Comparison of adaptive neuro-fuzzy inference system and artificial neutral networks model to categorize patients in the emergency department

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Table 1 Statistical measurement for the input and output variables

	Age_Cat	Sex	Canadian_code	A_breath	Tachy_C	Brady_C	Pallor	Peripheral	Tachy_P	Dysp	Weak_L	Speech	Facial	chest_p	Sweat	Mental	poly_t	Pain	psy_Irr	thr	trr	Output
Mean	2.62	.56	443.83	.11	.04	.01	.02	.01	.08	.03	.02	.01	.01	.02	.03	.05	.01	.04	.01	80.97	16.59	2.62
Std. Error of Mean	.019	.011	6.662	.007	.004	.002	.003	.002	.006	.004	.003	.002	.002	.003	.004	.005	.002	.004	.002	.706	.143	.015
Std. Dev	.903	.497	314.109	.322	.206	.094	.151	.117	.268	.170	.128	.101	.099	.131	.176	.227	.092	.187	.073	33.297	6.742	.704
Range	5	1	851	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	206	69	2
Min	1	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
Max	6	1	854	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	206	69	3