Assessing adverse event reports of hysteroscopic sterilization device removal using natural language processing.

Jialin MaoArt SedrakyanTianyi SunMaryam GuiahiScott ChudnoffMadris KinardStephen B Johnson

Published in: Pharmacoepidemiology and drug safety (2021)

We present a roadmap to develop an annotation model for NLP to analyze device adverse event reports. The extracted information is informative and complements findings from previous research using administrative data.

Keyphrases

adverse drug
electronic health record
autism spectrum disorder
emergency department
health information
rna seq
healthcare
social media
machine learning