Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Predicting Chronic Disease Hospitalizations from Electronic Health
  Records: An Interpretable Classification Approach   Urban living in modern large cities has significant adverse effects on
health, increasing the risk of several chronic diseases. We focus on the two
leading clusters of chronic disease, heart disease and diabetes, and develop
data-driven methods to predict hospitalizations due to these conditions. We
base these predictions on the patients' medical history, recent and more
distant, as described in their Electronic Health Records (EHR). We formulate
the prediction problem as a binary classification problem and consider a
variety of machine learning methods, including kernelized and sparse Support
Vector Machines (SVM), sparse logistic regression, and random forests. To
strike a balance between accuracy and interpretability of the prediction, which
is important in a medical setting, we propose two novel methods: K-LRT, a
likelihood ratio test-based method, and a Joint Clustering and Classification
(JCC) method which identifies hidden patient clusters and adapts classifiers to
each cluster. We develop theoretical out-of-sample guarantees for the latter
method. We validate our algorithms on large datasets from the Boston Medical
Center, the largest safety-net hospital system in New England.

15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ