Clinical Feature-Based Machine Learning Model for 1-Year Mortality Risk Prediction of ST-Segment Elevation Myocardial Infarction in Patients with Hyperuricemia: A Retrospective Study

<div>CatBoost model performance visualization. (a) ROC curve. (b) Precision-recall curve. (c) Confusion matrix. (d) Classification report. (e) Feature importance. (f) Decision boundary.</div>

Computational and Mathematical Methods in Medicine

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Figure 4: Clinical Feature-Based Machine Learning Model for 1-Year Mortality Risk Prediction of ST-Segment Elevation Myocardial Infarction in Patients with Hyperuricemia: A Retrospective Study 

Figure 4 | Clinical Feature-Based Machine Learning Model for 1-Year Mortality Risk Prediction of ST-Segment Elevation Myocardial Infarction in Patients with Hyperuricemia: A Retrospective Study 