The Value of Extracting Clinician-Recorded Affect for Advancing Clinical Research on Depression: Proof-of-Concept Study Applying Natural Language Processing to Electronic Health Records.

Vanessa Panaite Andrew R Devendorf Dezon K Finch Lina Bouayad Stephen L Luther Susan K Schultz

Published in: JMIR formative research (2022)

Affect and mood can be reliably identified in clinician reports and are good targets for NLP. We discuss several next steps to expand on this proof of concept and the value of this research for depression clinical research.

Keyphrases

electronic health record
sleep quality
depressive symptoms
adverse drug
clinical decision support
autism spectrum disorder
emergency department
physical activity