Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatic analysis of Categorical Verbal Fluency for Mild Cognitive
  Impartment detection: a non-linear language independent approach   Alzheimer's disease (AD) is one the main causes of dementia in the world and
the patients develop severe disability and sometime full dependence. In
previous stages Mild Cognitive Impairment (MCI) produces cognitive loss but not
severe enough to interfere with daily life. This work, on selection of
biomarkers from speech for the detection of AD, is part of a wide-ranging cross
study for the diagnosis of Alzheimer. Specifically in this work a task for
detection of MCI has been used. The task analyzes Categorical Verbal Fluency.
The automatic classification is carried out by SVM over classical linear
features, Castiglioni fractal dimension and Permutation Entropy. Finally the
most relevant features are selected by ANOVA test. The promising results are
over 50% for MCI

21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
26
The categories of this paper are: bayes-an