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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Main Authors: Arvind eRamanathan (Author), Laura L. Pullum (Author), Tanner C. Hobson (Author), Christopher G. Stahl (Author), Chad A. Steed (Author), Shannon P. Quinn (Author), Chakra S. Chennubhotla (Author)
Format: Book
Published: Frontiers Media S.A., 2015-08-01T00:00:00Z.
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