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

Vendula Churová Roman Vyškovský Kateřina Maršálová David Kudláček Daniel Schwarz

Published in: JMIR medical informatics (2021)

The experimental results demonstrate that the algorithm is universal in nature, and as such may be implemented in other EDC systems, and is capable of anomalous data detection with a sensitivity exceeding 85%.

Keyphrases

machine learning
electronic health record
loop mediated isothermal amplification
deep learning
big data
real time pcr
primary care
healthcare
neural network
data analysis
artificial intelligence
quantum dots