Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Care2Vec: A Deep learning approach for the classification of self-care
  problems in physically disabled children   Accurate classification of self-care problems in children who suffer from
physical and motor affliction is an important problem in the healthcare
industry. This is a difficult and a time consumming process and it needs the
expertise of occupational therapists. In recent years, healthcare professionals
have opened up to the idea of using expert systems and artificial intelligence
in the diagnosis and classification of self care problems. In this study, we
propose a new deep learning based approach named Care2Vec for solving these
kind of problems and use a real world self care activities dataset that is
based on a conceptual framework designed by the World Health Organization
(WHO). Care2Vec is a mix of unsupervised and supervised learning where we use
Autoencoders and Deep neural networks as a two step modeling process. We found
that Care2Vec has a better prediction accuracy than some of the traditional
methods reported in the literature for solving the self care classification
problem viz. Decision trees and Artificial neural networks.

13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics