Cargando…
Constructing synthetic populations in the age of big data
BACKGROUND: To develop public health intervention models using micro-simulations, extensive personal information about inhabitants is needed, such as socio-demographic, economic and health figures. Confidentiality is an essential characteristic of such data, while the data should reflect realistic s...
Autores principales: | Nicolaie, Mioara A., Füssenich, Koen, Ameling, Caroline, Boshuizen, Hendriek C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617102/ https://www.ncbi.nlm.nih.gov/pubmed/37907904 http://dx.doi.org/10.1186/s12963-023-00319-5 |
Ejemplares similares
-
Internal consistency of a synthetic population construction method for chronic disease micro-simulation models
por: Kooiker, René, et al.
Publicado: (2018) -
Mapping chronic disease prevalence based on medication use and socio-demographic variables: an application of LASSO on administrative data sources in healthcare in the Netherlands
por: Füssenich, Koen, et al.
Publicado: (2021) -
Potential gains in health expectancy by improving lifestyle: an application for European regions
por: Füssenich, Koen, et al.
Publicado: (2019) -
Estimating disease prevalence from drug utilization data using the Random Forest algorithm
por: Slobbe, Laurentius C J, et al.
Publicado: (2019) -
llperm: a permutation of regressor residuals test for microbiome data
por: Viljanen, Markus, et al.
Publicado: (2022)