Skip to main content

Table 1 Demographic characteristics and operative conditions of the participants

From: Prediction of conversion of laparoscopic cholecystectomy to open surgery with artificial neural networks

   Testing set n = 100 male/female:16/84 Training set n = 793 male/female:154/639 Total n = 893
   Mean(SD) Mean(SD) Mean(SD)
Age (years)   50.1(15.7) 48.7(14.9) 48.9(15)
Body Temperature (°C)   37(0.3) 36.8(0.7) 36.8(0.7)
WBC count (per mm3)   7633.2(2942.4) 7235.1(2195.6) 7279.6(2292.8)
Total bilirubin (mg/dl)   1.2(1.3) 1.2(1.7) 1.2(1.7)
ALK(mg/dl)   260.8(221.6) 233(219.8) 236.1(220.1)
Bleeding time   37.0(0.3) 36.8(0.7) 36.8(0.7)
   Number (%) Number (%) Number (%)
Surgeon's Experience (number of LC) yes 99(99) 507(63.9)SIG 606(67.9)
Patient admission type Emergency 16(16) 680(85.8)SIG 696(77.9)
Previous Laparotomy yes 18(18) 215(27.1) 233(26.1)
Co-Existing Disease yes 31(31) 193(24.3) 224(25.1)
Smoking yes 14(14) 66(8.3) 80(9)
Conversion to Open Surgery yes 9(9) 73(9.2) 82(9.2)
  1. SIG indicates statistically significant differences