Early prediction of MODS interventions in the intensive care unit using machine learning

Journal of Big Data

Table 3 Sensitivity values corresponding to different specificities

Model	Specificities with different Sensitivities					AUC
Model	0.95	0.90	0.85	0.80	0.75	AUC
SuperLearner	0.8746	0.9043	0.9224	0.9268	0.9315	0.9413 ± 0.014
SubSuperLearner	0.8701	0.9042	0.9151	0.9200	0.9251	0.9352 ± 0.012
DWNN	0.8520	0.8924	0.9160	0.9357	0.9510	0.9603 ± 0.013
Logistic Regression	0.8239	0.8735	0.9097	0.9294	0.9406	0.9441 ± 0.013