Discovering Multi-scale Co-occurrence Patterns of Asthma and Influenza with the Oak Ridge Bio-surveillance Toolkit

Discovering Multi-scale Co-occurrence Patterns of Asthma and Influenza with the 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 the 2009-2010 pandemic H1N1 influenza season...

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Bibliographic Details
Main Authors: Arvind eRamanathan, Laura L. Pullum, Tanner C. Hobson, Christopher G. Stahl, Chad A. Steed, Shannon P. Quinn, Chakra S. Chennubhotla
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-08-01
Series:Frontiers in Public Health
Subjects:
Asthma
Influenza, Human
non-negative matrix factorization
Public Health Surveillance
Disease co-occurrence
Electronic Healthcare reimbursement claims
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpubh.2015.00182/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpubh.2015.00182/full

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