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76, avg prec= 0.10, slope=1.14] as did logistic regression (acc=0.78, AUROC= 0.76, avg prec=0.09, slope=1.2. For 1-year mortality, the performances were similar for both MLP (acc=0.68, AUROC= 0.75, avg prec=0.32, slope=0.96) and logistic regression (acc= 0.68, AUROC= 0.75, avg prec= 0.32, slope=0.95). A scoring system based on logistic regression may be more feasible to run in current electronic medical records. But MLP models may reduce cognitive burden and increase ability to calibrate to local data, yielding clinical specificity i
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