Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Two Tier Prediction of Stroke Using Artificial Neural Networks and
  Support Vector Machines   Cerebrovascular accident (CVA) or stroke is the rapid loss of brain function
due to disturbance in the blood supply to the brain. Statistically, stroke is
the second leading cause of death. This has motivated us to suggest a two-tier
system for predicting stroke; the first tier makes use of Artificial Neural
Network (ANN) to predict the chances of a person suffering from stroke. The ANN
is trained the using the values of various risk factors of stroke of several
patients who had stroke. Once a person is classified as having a high risk of
stroke, s/he undergoes another the tier-2 classification test where his/her
neuro MRI (Magnetic resonance imaging) is analysed to predict the chances of
stroke. The tier-2 uses Non-negative Matrix Factorization and Haralick Textural
features for feature extraction and SVM classifier for classification. We have
obtained an accuracy of 96.67% in tier-1 and an accuracy of 70% in tier-2.

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The categories of this paper are: nucl-th
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The categories of this paper are: acc-phys
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The categories of this paper are: bayes-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: stat
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The categories of this paper are: adap-org
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The categories of this paper are: gr-qc
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The categories of this paper are: chao-dyn
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The categories of this paper are: chem-ph
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The categories of this paper are: supr-con
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The categories of this paper are: dg-ga
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The categories of this paper are: alg-geom
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The categories of this paper are: funct-an
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The categories of this paper are: econ
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The categories of this paper are: nlin