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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Machine-learning predictions for acute kidney injuries after coronary artery bypass grafting: a real-life muticenter retrospective cohort study

Fig. 3

(A) The weights of variable importance and (B) the SHapley Additive exPlanation (SHAP) values of variables (Scr: serum creatinine; BSA: body surface area; eGFR: estimated glomerular filtration rate; LVEF: left ventricular ejection fraction; NYHA: New York Heart Association Class; BMI: body mass index; IABP: intra-aortic balloon pump; CAD: coronary heart disease; COPD: chronic obstructive pulmonary disease; PCI: percutaneous coronary intervention)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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