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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Materias: | |
| 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 |