Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Comparison of single and multitask learning for predicting cognitive
  decline based on MRI data   The Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) is a
neuropsychological tool that has been designed to assess the severity of
cognitive symptoms of dementia. Personalized prediction of the changes in
ADAS-Cog scores could help in timing therapeutic interventions in dementia and
at-risk populations. In the present work, we compared single and multitask
learning approaches to predict the changes in ADAS-Cog scores based on
T1-weighted anatomical magnetic resonance imaging (MRI). In contrast to most
machine learning-based prediction methods ADAS-Cog changes, we stratified the
subjects based on their baseline diagnoses and evaluated the prediction
performances in each group. Our experiments indicated a positive relationship
between the predicted and observed ADAS-Cog score changes in each diagnostic
group, suggesting that T1-weighted MRI has a predictive value for evaluating
cognitive decline in the entire AD continuum. We further studied whether
correction of the differences in the magnetic field strength of MRI would
improve the ADAS-Cog score prediction. The partial least square-based domain
adaptation slightly improved the prediction performance, but the improvement
was marginal. In summary, this study demonstrated that ADAS-Cog change could
be, to some extent, predicted based on anatomical MRI. Based on this study, the
recommended method for learning the predictive models is a single-task
regularized linear regression due to its simplicity and good performance. It
appears important to combine the training data across all subject groups for
the most effective predictive models.

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The categories of this paper are: chem-ph
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
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The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph