Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sparse Longitudinal Representations of Electronic Health Record Data for
  the Early Detection of Chronic Kidney Disease in Diabetic Patients   Chronic kidney disease (CKD) is a gradual loss of renal function over time,
and it increases the risk of mortality, decreased quality of life, as well as
serious complications. The prevalence of CKD has been increasing in the last
couple of decades, which is partly due to the increased prevalence of diabetes
and hypertension. To accurately detect CKD in diabetic patients, we propose a
novel framework to learn sparse longitudinal representations of patients'
medical records. The proposed method is also compared with widely used
baselines such as Aggregated Frequency Vector and Bag-of-Pattern in Sequences
on real EHR data, and the experimental results indicate that the proposed model
achieves higher predictive performance. Additionally, the learned
representations are interpreted and visualized to bring clinical insights.

21
The categories of this paper are: adap-org
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph