Deep-learning-based automated terminology mapping in OMOP-CDM.

Byungkon KangJisang YoonHa Young KimSung Jin JoYourim LeeHye Jin Kam

Published in: Journal of the American Medical Informatics Association : JAMIA (2021)

Incorporating the semantics of code descriptions more significantly increases matching accuracy compared to traditional text co-occurrence-based approaches. The negative training sample collection methodology is also an important component of the proposed trainable system that can be adopted in both present and future related systems.

Keyphrases

deep learning
artificial intelligence
machine learning
convolutional neural network
high resolution
smoking cessation
high density
virtual reality
high throughput
mass spectrometry
single cell