Development of a text mining algorithm for identifying adverse drug reactions in electronic health records.

Britt W M van de BurgtArthur T M WasylewiczBjorn DullemondNaomi T JessurunRene J E GroulsR Arthur BouwmanErik H M KorstenToine C G Egberts

Published in: JAMIA open (2024)

The recoded Dutch algorithm effectively identifies ADRs from free-text Dutch EHRs using R-scripts and MedDRA/SNOMED-CT. The study details its limitations, highlighting the algorithm's potential and significant improvements.

Keyphrases

adverse drug
electronic health record
machine learning
deep learning
clinical decision support
smoking cessation
neural network
computed tomography
emergency department
genome wide
image quality
magnetic resonance
positron emission tomography
dual energy