Predictive Models for Suicide Attempts in Major Depressive Disorder and the Contribution of <i>EPHX2</i>: A Pilot Integrative Machine Learning Study

<div>The results from S-Model A, S-Model B, and S-Model C and contributions of various features to identify MDD patients. (a) The ROC of three ML models in the validation set. (b) The DCA of three ML models in the validation set. (c) The global bar plot of SHAP values from S-Model C. (d) The beeswarm summary plot of SHAP values from S-Model C.</div>

Depression and Anxiety

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Figure 4

Figure 4: Predictive Models for Suicide Attempts in Major Depressive Disorder and the Contribution of <i>EPHX2</i>: A Pilot Integrative Machine Learning Study 

Figure 4 | Predictive Models for Suicide Attempts in Major Depressive Disorder and the Contribution of EPHX2: A Pilot Integrative Machine Learning Study 