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Table 1 Statistical measurement for the input and output variables

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

  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