Discovering Multi-Scale Co-Occurrence Patterns of Asthma and Influenza with Oak Ridge Bio-Surveillance Toolkit.
We describe a data-driven unsupervised machine learning approach to extract geo-temporal co-occurrence patterns of asthma and the flu from large-scale electronic healthcare reimbursement claims (eHRC) datasets. Specifically, we examine the eHRC data from 2009 to 2010 pandemic H1N1 influenza season and analyze whether different geographic regions within the United States (US) showed an increase in co-occurrence patterns of the flu and asthma. Our analyses reveal that the temporal patterns extracted from the eHRC data show a distinct lag time between the peak incidence of the asthma and the flu. While the increased occurrence of asthma contributed to increased flu incidence during the pandemic, this co-occurrence is predominant for female patients. The geo-temporal patterns reveal that the co-occurrence of the flu and asthma are typically concentrated within the south-east US. Further, in agreement with previous studies, large urban areas (such as New York, Miami, and Los Angeles) exhibit co-occurrence patterns that suggest a peak incidence of asthma and flu significantly early in the spring and winter seasons. Together, our data-analytic approach, integrated within the Oak Ridge Bio-surveillance Toolkit platform, demonstrates how eHRC data can provide novel insights into co-occurring disease patterns.
Computational Science and Engineering Division, Oak Ridge National Laboratory , Oak Ridge, TN , USA ; Health Data Sciences Institute, Oak Ridge National Laboratory , Oak Ridge, TN , USA.
Arvind
A
Ramanathan
Computational Science and Engineering Division, Oak Ridge National Laboratory , Oak Ridge, TN , USA ; Health Data Sciences Institute, Oak Ridge National Laboratory , Oak Ridge, TN , USA.
Laura L
LL
Pullum
Computational Science and Engineering Division, Oak Ridge National Laboratory , Oak Ridge, TN , USA.
Tanner C
TC
Hobson
Computational Science and Engineering Division, Oak Ridge National Laboratory , Oak Ridge, TN , USA.
Christopher G
CG
Stahl
Computational Science and Engineering Division, Oak Ridge National Laboratory , Oak Ridge, TN , USA.
Chad A
CA
Steed
Department of Computational and Systems Biology, University of Pittsburgh , Pittsburgh, PA , USA.
Shannon P
SP
Quinn
Department of Computational and Systems Biology, University of Pittsburgh , Pittsburgh, PA , USA.
Chakra S
CS
Chennubhotla
IMS Health Government Solutions , Plymouth Meeting, PA , USA.
Silvia
S
Valkova
asthma; disease co-occurrence; electronic healthcare reimbursement claims; flu; non-negative matrix factorization; public health surveillance