Texture Feature-Based Machine Learning Classification on MRI Image for Sepsis-Associated Encephalopathy Detection: A Pilot Study

Table 4

Comparison with other published data.

	Method	Accuracy	AUC	Sensitivity	Specificity
Zhao et al. [10]	LASSO + multivariable logistic regression	—	0·743	—	—
Wu et al. [9]	Independent-samples -test/chi-square test	—	0.819	69.49%	84.44%
Our model	CatBoost	0.83-1.00	0.90-1.00	0.33-1.00	0.80-1.00