Fig. 8 | Scientific Reports

Fig. 8

From: Establishing a clinical prediction model for diabetic foot ulcers in type 2 diabetic patients with lower extremity arteriosclerotic occlusion using machine learning

Fig. 8

CIC of the training set (A) and validation set (B). The red curve (Number high risk) represents the number of people classified as positive by the model under each risk threshold (horizontal coordinate). The blue curve (Number high risk with event) shows the number of true positives under each threshold. When the risk threshold is within a certain range, the corresponding prediction model determines that the positive population is highly close to the true positive population, which confirms that the prediction model has high clinical prediction ability and practical value within this range.

Back to article page