Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic.

In detail, the weighting method, by which 62 models were created, led to a highly significant drop in AUROC of the Deep Learning models accompanied by a decline in precision-recall trade-off in the pre-pandemic test set which remained almost unchanged in-pandemic.

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