Skip to main content
Fig. 4 | BMC Medical Informatics and Decision Making

Fig. 4

From: Development of machine learning models for detection of vision threatening Behçet’s disease (BD) using Egyptian College of Rheumatology (ECR)–BD cohort

Fig. 4

XGBoost variable importance and overall SHAP values for predicting VTBD among women and men with BD. Figure shows degree and direction of contribution of the variables to VTBD from the Shapley plot separated by gender. Shapley plots show the SHAP values in the order of the important variables that contribute to VTBD (left side) and by the direction of the contribution (right side). A Represents the variables importance in women, while B shows the average probability value of each variables in the contribution of VTBD in women. C Represents the variables importance and D shows the average probability value of each variables in the contribution of VTBD in men

Back to article page

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us