Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score
  Assessment   Chronic pain is defined as pain that lasts or recurs for more than 3 to 6
months, often long after the injury or illness that initially caused the pain
has healed. The "gold standard" for chronic pain assessment remains self report
and clinical assessment via a biopsychosocial interview, since there has been
no device that can measure it. A device to measure pain would be useful not
only for clinical assessment, but potentially also as a biofeedback device
leading to pain reduction. In this paper we propose an end-to-end deep learning
framework for chronic pain score assessment. Our deep learning framework splits
the long time-course data samples into shorter sequences, and uses Consensus
Prediction to classify the results. We evaluate the performance of our
framework on two chronic pain score datasets collected from two iterations of
prototype Pain Meters that we have developed to help chronic pain subjects
better understand their health condition.

36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat