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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