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Fig. 4 | European Journal of Medical Research

Fig. 4

From: Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers

Fig. 4

A Scatter plot of feature values and SHAP values. The purple part of the feature value represents a lower value. B Consent waterfall plot showing an example of interpretability analysis for a patient. The yellow part of the feature value represents a positive effect on the model. The deep red part of the feature value represents a represents a negative effect on the model

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