Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Representation Learning for Integrating Multi-domain Outcomes to
  Optimize Individualized Treatments   For mental disorders, patients' underlying mental states are non-observed
latent constructs which have to be inferred from observed multi-domain
measurements such as diagnostic symptoms and patient functioning scores.
Additionally, substantial heterogeneity in the disease diagnosis between
patients needs to be addressed for optimizing individualized treatment policy
in order to achieve precision medicine. To address these challenges, we propose
an integrated learning framework that can simultaneously learn patients'
underlying mental states and recommend optimal treatments for each individual.
This learning framework is based on the measurement theory in psychiatry for
modeling multiple disease diagnostic measures as arising from the underlying
causes (true mental states). It allows incorporation of the multivariate pre-
and post-treatment outcomes as well as biological measures while preserving the
invariant structure for representing patients' latent mental states. A
multi-layer neural network is used to allow complex treatment effect
heterogeneity. Optimal treatment policy can be inferred for future patients by
comparing their potential mental states under different treatments given the
observed multi-domain pre-treatment measurements. Experiments on simulated data
and a real-world clinical trial data show that the learned treatment polices
compare favorably to alternative methods on heterogeneous treatment effects,
and have broad utilities which lead to better patient outcomes on multiple
domains.

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The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
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The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
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The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
21
The categories of this paper are: adap-org
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The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
2
The categories of this paper are: math