Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting Patterns of Physiological Response to Hemodynamic Stress via
  Unsupervised Deep Learning   Monitoring physiological responses to hemodynamic stress can help in
determining appropriate treatment and ensuring good patient outcomes.
Physicians' intuition suggests that the human body has a number of
physiological response patterns to hemorrhage which escalate as blood loss
continues, however the exact etiology and phenotypes of such responses are not
well known or understood only at a coarse level. Although previous research has
shown that machine learning models can perform well in hemorrhage detection and
survival prediction, it is unclear whether machine learning could help to
identify and characterize the underlying physiological responses in raw vital
sign data. We approach this problem by first transforming the high-dimensional
vital sign time series into a tractable, lower-dimensional latent space using a
dilated, causal convolutional encoder model trained purely unsupervised.
Second, we identify informative clusters in the embeddings. By analyzing the
clusters of latent embeddings and visualizing them over time, we hypothesize
that the clusters correspond to the physiological response patterns that match
physicians' intuition. Furthermore, we attempt to evaluate the latent
embeddings using a variety of methods, such as predicting the cluster labels
using explainable features.

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The categories of this paper are: hep-ex
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The categories of this paper are: q-fin
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The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
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The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
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The categories of this paper are: patt-sol
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The categories of this paper are: comp-gas
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-ph
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The categories of this paper are: q-bio
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The categories of this paper are: math
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The categories of this paper are: physics
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The categories of this paper are: astro-ph
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The categories of this paper are: nucl-ex