Detecting Spatial Patterns of Disease in Large Collections of Electronic Medical Records Using Neighbor-Based Bootstrapping

We introduce a method called neighbor-based bootstrapping (NB2) that can be used to quantify the geospatial variation of a variable. We applied this method to an analysis of the incidence rates of disease from electronic medical record data (International Classification of Diseases, Ninth Revision c...

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Detalles Bibliográficos
Autores principales: Patterson, Maria T., Grossman, Robert L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc. 2017
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647508/
https://www.ncbi.nlm.nih.gov/pubmed/28933946
http://dx.doi.org/10.1089/big.2017.0028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647508/
https://www.ncbi.nlm.nih.gov/pubmed/28933946
http://dx.doi.org/10.1089/big.2017.0028

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