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Fig. 5 | BMC Medical Informatics and Decision Making

Fig. 5

From: Machine learning model identifies aggressive acute pancreatitis within 48 h of admission: a large retrospective study

Fig. 5

Decision curve analysis for the APCU, APACHE, SIRS, NEWS, and RANSON. The x-axis represented the high-risk threshold, and the y-axis calculated the net benefit (getting benefit from using different prediction models). The pink, green, blue, red, and brown lines represent RANSON, APCU, APACHE, SIRS and NEWS, respectively. The gray line represents the assumption that all patients have ICU involvement. Thin black line represents the assumption that no patients have ICU involvement

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