Application value of machine learning models in predicting intraoperative hypothermia in laparoscopic surgery for polytrauma patients

Table 5 Nomogram model for predicting the occurrence of hypothermia during laparoscopic surgery

Index	AUC	SEN, %	SPE, %	95%CI	P value
Training	0.850	94.69	91.47	0.909-0.962	< 0.001
Validation	0.829	95.38	90.53	0.850-0.988	< 0.001

95%CI: 95% Confidence interval; AUC: Area under the curve; SEN: Sensitivity; SPE: Specificity.