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A sample of 590 patients was included in this study. Of them, 180 (30.5%) had favorable outcomes and 152 (25.8%) had miserable outcomes. All selected machine learning models outperformed the DRAGON score on accuracy of outcome prediction (Logistic Regression 0.70, Supportive Vector Machine 0.67, Random Forest 0.69, and Extreme Gradient Boosting 0.67, vs. DRAGON 0.51, p less then 0.001). Among all selected models, Logistic Regression also had a better performance than the DRAGON score on positive predictive value, sensitivity, and specifi