Health record hiccups—5,526 real-world time series with change points labelled by crowdsourced visual inspection

BACKGROUND: Large routinely collected data such as electronic health records (EHRs) are increasingly used in research, but the statistical methods and processes used to check such data for temporal data quality issues have not moved beyond manual, ad hoc production and visual inspection of graphs. W...

Descripción completa

Detalles Bibliográficos
Autores principales: Quan, T Phuong, Lacey, Ben, Peto, Tim E A, Walker, A Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Data Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375518/
https://www.ncbi.nlm.nih.gov/pubmed/37503960
http://dx.doi.org/10.1093/gigascience/giad060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375518/
https://www.ncbi.nlm.nih.gov/pubmed/37503960
http://dx.doi.org/10.1093/gigascience/giad060

Ejemplares similares