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pro vyhledávání: '"Arvind eRamanathan"'
Autor:
Arvind eRamanathan, Laura L. Pullum, Tanner C. Hobson, Christopher G. Stahl, Chad A. Steed, Shannon P. Quinn, Chakra S. Chennubhotla
Publikováno v:
Frontiers in Public Health, Vol 3 (2015)
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
Externí odkaz:
https://doaj.org/article/86e77b1c1f3d44a3a8e4d01413320b94
