Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatic structure estimation of predictive models for symptom
  development   Online mental health treatment has the premise to meet the increasing demand
for mental health treatment at a lower cost than traditional treatment.
However, online treatment suffers from high drop-out rates, which might negate
their cost effectiveness. Predictive models might aid in early identification
of deviating clients which allows to target them directly to prevent drop-out
and improve treatment outcomes. We propose a two-staged multi-objective
optimization process to automatically infer model structures based on
ecological momentary assessment for prediction of future symptom development.
The proposed multi-objective optimization approach results in a temporal-causal
network model with the best prediction performance for each concept. This
allows for a selection of a disorder-specific model structure based on the
envisioned field of application.

23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
3
The categories of this paper are: physics