Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Complex Event Processing of Health Data in Real-time to Predict Heart
  Failure Risk and Stress   In this paper, we develop a scalable system which can do real-time analytics
for different health applications. The occurrence of different health
conditions can be regarded as the complex events and thus this concept can be
extended to other use cases easily. Large number of users should be able to
send the data in real-time, and should be able to receive the feedback and
result. Keeping the requirements in mind we used Kafka and Spark to develop our
system. In this setting, multiple users are running Kafka producer clients,
which are sending data in real-time. Spark streaming is used to process data
from Kafka of different window sizes to analyze the health conditions. We have
developed and tested the heart attack risk and stress prediction as our sample
complex events detection use cases. We have simulated and tested our system
with multiple health datasets.

10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
13
The categories of this paper are: quant-ph
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics