Skip to main content
Fig. 3 | Molecular Medicine

Fig. 3

From: Use of machine learning-based integration to develop a monocyte differentiation-related signature for improving prognosis in patients with sepsis

Fig. 3

Establishment of a prognostic signature related to monocyte differentiation in patients with sepsis. A C-index values of 99 machine learning combinations. The color from green to yellow represents the gradual increase of C-index value. Each row represents a signature and each column represents a cohort; B Survival analysis of the total cohort of high-risk and low-risk patients. Blue represents low-risk patients and red represents high-risk patients; C Survival analysis of the Test 1 cohort of high-risk and low-risk patients. Blue represents low-risk patients and red represents high-risk patients; D Survival analysis of high-risk and low-risk patients in the Test 2 cohort; E ROC analysis of risk scores for the total cohort. Red represents the AUC of signature at 5 days, blue represents the AUC of signature at 15 days, and green represents the AUC of signature at 25 days; F ROC analysis of risk scores for the Test 1 total cohort. Red represents the AUC of signature at 5 days, blue represents the AUC of signature at 15 days, and green represents the AUC of signature at 25 days; G ROC analysis of the risk scores of the total cohort in Test 2. Red represents the AUC of signature at 5 days, blue represents the AUC of signature at 15 days, and green represents the AUC of signature at 25 days

Back to article page