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Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network
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Dynamic prediction of patient mortality risk in the ICU with time series data is limited due to high dimensionality, uncertainty in sampling intervals, and other issues. A new deep learning method, temporal convolution network (TCN), makes it possible to deal with complex clinical time series data in ICU.
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