Extracting social determinants of health events with transformer-based multitask, multilabel named entity recognition.

Russell RichieVictor M RuizSifei HanLingyun ShiFu-Chiang Rich Tsui

Published in: Journal of the American Medical Informatics Association : JAMIA (2023)

Our 2-stage, deep-learning-based NLP system effectively extracted SDOH events from clinical notes. This was achieved with a novel classification framework that leveraged simpler architectures compared to state-of-the-art systems. Improved SDOH extraction may help clinicians improve health outcomes.

Keyphrases

deep learning
public health
machine learning
healthcare
artificial intelligence
convolutional neural network
mental health
palliative care
health information
social media