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Table 4 Predictive models trained with leave-one-out cross validation for both liver disease (N = 364) and T2D (N = 288) case-control groups. Each cell contains the area under the curve (AUC) with 95% confidence intervals (CI) in parentheses, F1 score and accuracy with sensitivity and specificity in parentheses

From: Liver shape analysis using statistical parametric maps at population scale

Case - Control Cohort

Models

 

Volume

S2S

AUC (95% CI)

F1 score

Accuracy (Sensitivity / Specificity)

AUC (95% CI)

F1 score

Accuracy (Sensitivity / Specificity)

Liver disease

0.57 (0.50–0.62)

(0.59)

0.54 (0.42 / 0.66)

0.61 (0.55–0.67)

(0.60)

0.59 (0.57 / 0.60)

T2D

0.64 (0.58–0.71)

(0.65)

0.62 (0.54 / 0.70)

0.64 (0.57–0.70)

(0.62)

0.62 (0.59 / 0.64)