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The augmented Lagrangian method (ALM) is a benchmark for solving a convex minimization model with linear constraints. We consider the special case where the objective is the sum of m functions without coupled variables. For solving this separable convex minimization model, it is usually required to decompose the ALM subproblem at each iteration into m(More)
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In this study, we compare the Trauma and Injury Severity Score (TRISS) and A Severity Characterization of Trauma (ASCOT) models by using NCKUH trauma registry to assess the performance of correct prediction in terms of sensitivity, specificity and misclassification rate. The database has accumulated to 5,672 cases, NCKUH 2,490; Chi-Mei 3,182 respectively.(More)
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