Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Classification of Heart Disease Using K- Nearest Neighbor and Genetic
  Algorithm   Data mining techniques have been widely used to mine knowledgeable
information from medical data bases. In data mining classification is a
supervised learning that can be used to design models describing important data
classes, where class attribute is involved in the construction of the
classifier. Nearest neighbor (KNN) is very simple, most popular, highly
efficient and effective algorithm for pattern recognition.KNN is a straight
forward classifier, where samples are classified based on the class of their
nearest neighbor. Medical data bases are high volume in nature. If the data set
contains redundant and irrelevant attributes, classification may produce less
accurate result. Heart disease is the leading cause of death in INDIA. In
Andhra Pradesh heart disease was the leading cause of mortality accounting for
32%of all deaths, a rate as high as Canada (35%) and USA.Hence there is a need
to define a decision support system that helps clinicians decide to take
precautionary steps. In this paper we propose a new algorithm which combines
KNN with genetic algorithm for effective classification. Genetic algorithms
perform global search in complex large and multimodal landscapes and provide
optimal solution. Experimental results shows that our algorithm enhance the
accuracy in diagnosis of heart disease.

19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
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The categories of this paper are: adap-org
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The categories of this paper are: chao-dyn
14
The categories of this paper are: math-ph