Anomaly Detection Algorithm for Real-World Data and Evidence in Clinical Research: Implementation, Evaluation, and Validation Study

BACKGROUND: Statistical analysis, which has become an integral part of evidence-based medicine, relies heavily on data quality that is of critical importance in modern clinical research. Input data are not only at risk of being falsified or fabricated, but also at risk of being mishandled by investi...

Descripción completa

Detalles Bibliográficos
Autores principales: Churová, Vendula, Vyškovský, Roman, Maršálová, Kateřina, Kudláček, David, Schwarz, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140384/
https://www.ncbi.nlm.nih.gov/pubmed/33851576
http://dx.doi.org/10.2196/27172

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140384/
https://www.ncbi.nlm.nih.gov/pubmed/33851576
http://dx.doi.org/10.2196/27172

Ejemplares similares