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Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning
More specifically, our method improves prediction performance of a low-prior task by jointly optimizing a shared model that combines the loss of the target event and a broad range of generic clinical events.
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