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An unsupervised classification method for inferring original case locations from low-resolution disease maps

BACKGROUND: Widespread availability of geographic information systems software has facilitated the use of disease mapping in academia, government and private sector. Maps that display the address of affected patients are often exchanged in public forums, and published in peer-reviewed journal articl...

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Bibliografiske detaljer
Main Authors: Brownstein, John S, Cassa, Christopher A, Kohane, Isaac S, Mandl, Kenneth D
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2006
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC1702538/
https://ncbi.nlm.nih.gov/pubmed/17156451
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1476-072X-5-56
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