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Table 6 Comparison of predictive performance between training set and validation set

From: Early predicting 30-day mortality in sepsis in MIMIC-III by an artificial neural networks model

 

AUC (95% CI, Training set)

AUC (95% CI, Validation set)

P value

ANN

0.873 (0.846–0.900)

0.811 (0.792–0.830)

 < 0.001

Logistic regression

0.720 (0.684–0.756)

0.752 (0.731–0.773)

0.067

APACHEII

0.629 (0.607–0.651)

0.607 (0.584–0.630)

0.174

SOFA

0.619 (0.596–0.641)

0.628 (0.605–0.651)

0.350

  1. ANN artificial neural networks, SOFA sequential organ failure assessment, APACHE acute physiology, and chronic health evaluation, AUC area under the ROC curve, CI confidential interval
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European Journal of Medical Research

ISSN: 2047-783X

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