Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Self-supervision for health insurance claims data: a Covid-19 use case   In this work, we modify and apply self-supervision techniques to the domain
of medical health insurance claims. We model patients' healthcare claims
history analogous to free-text narratives, and introduce pre-trained `prior
knowledge', later utilized for patient outcome predictions on a challenging
task: predicting Covid-19 hospitalization, given a patient's pre-Covid-19
insurance claims history. Results suggest that pre-training on insurance claims
not only produces better prediction performance, but, more importantly,
improves the model's `clinical trustworthiness' and model
stability/reliability.

34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg