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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Detalles Bibliográficos
Autores principales: Brownstein, John S, Cassa, Christopher A, Kohane, Isaac S, Mandl, Kenneth D
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1702538/
https://www.ncbi.nlm.nih.gov/pubmed/17156451
http://dx.doi.org/10.1186/1476-072X-5-56

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1702538/
https://www.ncbi.nlm.nih.gov/pubmed/17156451
http://dx.doi.org/10.1186/1476-072X-5-56

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