Unsupervised anomaly detection of implausible electronic health records: a real-world evaluation in cancer registries

BACKGROUND: Cancer registries collect patient-specific information about cancer diseases. The collected information is verified and made available to clinical researchers, physicians, and patients. When processing information, cancer registries verify that the patient-specific records they collect a...

Descripción completa

Detalles Bibliográficos
Autores principales: Röchner, Philipp, Rothlauf, Franz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207857/
https://www.ncbi.nlm.nih.gov/pubmed/37226114
http://dx.doi.org/10.1186/s12874-023-01946-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207857/
https://www.ncbi.nlm.nih.gov/pubmed/37226114
http://dx.doi.org/10.1186/s12874-023-01946-0

Ejemplares similares