Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Overcoming computational inability to predict clinical outcome from
  high-dimensional patient data using Bayesian methods   Clinical outcome prediction from high-dimensional data is problematic in the
common setting where there is only a relatively small number of samples. The
imbalance causes data overfitting, and outcome prediction becomes
computationally expensive or even impossible. We propose a Bayesian outcome
prediction method that can be applied to data of arbitrary dimension d, from 2
outcome classes, and reduces overfitting without any approximations at
parameter level. This is achieved by avoiding numerical integration or
approximation, and solving the Bayesian integrals analytically. We thereby
reduce the dimension of numerical integrals from 2d dimensions to 4, for any d.
For large d, this is reduced further to 3, and we obtain a simple outcome
prediction formula without integrals in leading order for very large d. We
compare our method to the mclustDA method (Fraley and Raftery 2002), using
simulated and real data sets. Our method perform as well as or better than
mclustDA in low dimensions d. In large dimensions d, mclustDA breaks down due
to computational limitations, while our method provides a feasible and
computationally efficient alternative.

22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
1
The categories of this paper are: cs
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int