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Fig. 7 | BMC Medical Informatics and Decision Making

Fig. 7

From: A machine learning based two-stage clinical decision support system for predicting patients’ discontinuation from opioid use disorder treatment: retrospective observational study

Fig. 7

Variable importance plots using SHAP values from extreme gradient boosting model including two-months PDC (Panel A) and three-months PDC (Panel B) as a dichotomous variable; SHAP value computed from individual feature’s values and their impact (both positive and negative) on treatment discontinuation (left in Panel A and Panel B); Average SHAP values of features showing average impact on and correlation with treatment discontinuation (right in Panel A and Panel B

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