Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Predictive Visual Analytics System for Studying Neurodegenerative
  Disease based on DTI Fiber Tracts   Diffusion tensor imaging (DTI) has been used to study the effects of
neurodegenerative diseases on neural pathways, which may lead to more reliable
and early diagnosis of these diseases as well as a better understanding of how
they affect the brain. We introduce an intelligent visual analytics system for
studying patient groups based on their labeled DTI fiber tract data and
corresponding statistics. The system's AI-augmented interface guides the user
through an organized and holistic analysis space, including the statistical
feature space, the physical space, and the space of patients over different
groups. We use a custom machine learning pipeline to help narrow down this
large analysis space, and then explore it pragmatically through a range of
linked visualizations. We conduct several case studies using real data from the
research database of Parkinson's Progression Markers Initiative.

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The categories of this paper are: cond-mat
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The categories of this paper are: comp-gas
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The categories of this paper are: funct-an
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-lat
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The categories of this paper are: math-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: hep-th
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The categories of this paper are: econ
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The categories of this paper are: chem-ph
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The categories of this paper are: q-bio
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The categories of this paper are: patt-sol
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The categories of this paper are: acc-phys
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The categories of this paper are: nlin
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The categories of this paper are: astro-ph
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The categories of this paper are: solv-int