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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Predicting the amputation risk for patients with diabetic foot ulceration – a Bayesian decision support tool

Fig. 1

A histogram matrix of the posterior coefficient distributions of all four model. Each column shows a model; each row shows a risk factor. The light blue histograms show the posterior distributions. The light grey density curves represent the prior probability distribution of the models. The black error bar shows the 95% highest density interval (HDI). The black square in the middle of the error bar represents the posterior median estimate of the model coefficients. The dotted vertical line represents the null-value of 0, which, when exponentiated, corresponds to an OR of 1). Risk models: column a uninformed any-amputation; column b informed any-amputation; column c uninformed major-amputation; column d informed major-amputation

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