Predicting Future Geographic Hotspots of Potentially Preventable Hospitalisations Using All Subset Model Selection and Repeated K-Fold Cross-Validation

Long-term future prediction of geographic areas with high rates of potentially preventable hospitalisations (PPHs) among residents, or “hotspots”, is critical to ensure the effective location of place-based health service interventions. This is because such interventions are typically expensive and...

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Detalles Bibliográficos
Autores principales: Tuson, Matthew, Turlach, Berwin, Murray, Kevin, Kok, Mei Ruu, Vickery, Alistair, Whyatt, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508485/
https://www.ncbi.nlm.nih.gov/pubmed/34639555
http://dx.doi.org/10.3390/ijerph181910253

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508485/
https://www.ncbi.nlm.nih.gov/pubmed/34639555
http://dx.doi.org/10.3390/ijerph181910253

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