Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: WIP: Medical Incident Prediction Through Analysis of Electronic Medical
  Records Using Machine Lerning: Fall Prediction   This paper reports our preliminary work on medical incident prediction in
general, and fall risk prediction in specific, using machine learning. Data for
the machine learning are generated only from the particular subset of the
electronic medical records (EMR) at Osaka Medical and Pharmaceutical University
Hospital. As a result of conducting three experiments such as (1) machine
learning algorithm comparison, (2) handling imbalance, and (3) investigation of
explanatory variable contribution to the fall incident prediction, we find the
investigation of explanatory variables the most effective.

23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph