Using set visualisation to find and explain patterns of missing values: a case study with NHS hospital episode statistics data

OBJECTIVES: Missing data is the most common data quality issue in electronic health records (EHRs). Missing data checks implemented in common analytical software are typically limited to counting the number of missing values in individual fields, but researchers and organisations also need to unders...

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Detalles Bibliográficos
Autores principales: Ruddle, Roy A, Adnan, Muhammad, Hall, Marlous
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Health Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680176/
https://www.ncbi.nlm.nih.gov/pubmed/36410820
http://dx.doi.org/10.1136/bmjopen-2022-064887

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680176/
https://www.ncbi.nlm.nih.gov/pubmed/36410820
http://dx.doi.org/10.1136/bmjopen-2022-064887

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