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Fig. 9 | BMC Medical Informatics and Decision Making

Fig. 9

From: Development and validation of ‘Patient Optimizer’ (POP) algorithms for predicting surgical risk with machine learning

Fig. 9

SHAP visualisation for a specific patient’s risk of kidney failure. This is a True Positive (TP) prediction with a probability of 0.87. The length of the bar indicates the influence of that feature on the prediction. The colour indicates whether the influence is positive (red) or negative (blue). The grey value to the left of the feature name is the value of that feature for this patient

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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