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Fig. 1 | Critical Care

Fig. 1

From: Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy

Fig. 1

Comparisons of intensive care unit mortality prediction models such as random forest, APACHE II, SOFA, and MOSAIC in the test set. a Receiver operating characteristic curves of random forest, APACHE II, SOFA, and MOSAIC. The bar graph indicates the median value of the AUC in the model. The error bar indicates the range. b Decision curve analysis of random forest, APACHE II, SOFA, and MOSAIC. *P <  0.05. APACHE, Acute Physiology and Chronic Health Evaluation; SOFA, Sequential Organ Failure Assessment; MOSAIC, Mortality Scoring system for AKI with CRRT

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Critical Care

ISSN: 1364-8535