Learning Deep Representations from Clinical Data for Chronic Kidney Disease

1 Oct 2018 Duc Thanh Anh Luong Varun Chandola

We study the behavior of a Time-Aware Long Short-Term Memory Autoencoder, a state-of-the-art method, in the context of learning latent representations from irregularly sampled patient data. We identify a key issue in the way such recurrent neural network models are being currently used and show that the solution of the issue leads to significant improvements in the learnt representations on both synthetic and real datasets... (read more)

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