Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Inferring disease correlation from healthcare data   Electronic Health Records maintained in health care settings are a potential
source of substantial clinical knowledge. The massive volume of data,
unstructured nature of records and obligatory requirement of domain
acquaintance together pose a challenge in knowledge extraction from it. The aim
of this study is to overcome this challenge with a methodical analysis,
abstraction and summarization of such data. This is an attempt to explain
clinical observations through bio-medical and genomic data. Discharge summaries
of obesity patients were processed to extract coherent patterns. This was
supported by Machine Learning and Natural Language Processing based
technologies and concept mapping tool along with biomedical, clinical and
genomic knowledge bases. Semantic relations between diseases were extracted and
filtered through Chi square test to remove spurious relations. The remaining
relations were validated against biomedical literature and gene interaction
networks. A collection of binary relations of diseases was derived from the
data. One set implied co-morbidity while the other set contained diseases which
are risk factors of others. Validation against bio-medical literature increased
the prospect of correlation between diseases. Gene interaction network revealed
that the diseases are related and their corresponding genes are in close
proximity. Conclusion: This study focuses on deducing meaningful relations
between diseases from discharge summaries. For analytical purpose, the scope
has been limited to a few common, well-researched diseases. It can be extended
to incorporate relatively unknown, complex diseases and discover new traits to
help in clinical assessments.

25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg