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Fig. 4 | Journal of Translational Medicine

Fig. 4

From: Prediction of acute kidney injury after cardiac surgery: model development using a Chinese electronic health record dataset

Fig. 4

SHAP summary plot of the random forest model. (A) Average absolute impact of variables on the final model output magnitude ordered by decreasing feature importance; (B) The plot depicts the dot estimation on the model output of random forest model. Each dot represents an individual patient from the dataset. Red represents higher SHAP value of specific features; blue represents lower SHAP value of specific features. The higher the SHAP values, the greater the risk of developing acute kidney injury development. CVP: central venous pressure; CUF: conventional ultrafiltration; LDH: lactic dehydrogenase; NLR: neutrophil to lymphocyte ratio; Scr: serum creatinine; UA: uric acid; HDL: high-density lipoprotein

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