Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the importance of normative data in speech-based assessment   Data sets for identifying Alzheimer's disease (AD) are often relatively
sparse, which limits their ability to train generalizable models. Here, we
augment such a data set, DementiaBank, with each of two normative data sets,
the Wisconsin Longitudinal Study and Talk2Me, each of which employs a
speech-based picture-description assessment. Through minority class
oversampling with ADASYN, we outperform state-of-the-art results in binary
classification of people with and without AD in DementiaBank. This work
highlights the effectiveness of combining sparse and difficult-to-acquire
patient data with relatively large and easily accessible normative datasets.

8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph