Applying natural language processing to patient messages to identify depression concerns in cancer patients.

Marieke Meija van BuchemAnne A H de HondClaudio FanconiVaibhavi ShahMax SchuesslerIlse M J KantEwout W SteyerbergTina Hernandez Boussard

Published in: Journal of the American Medical Informatics Association : JAMIA (2024)

This work represents a significant methodological advancement in the early identification of depression concerns among cancer patients. Our work contributes to a route to reduce clinical burden while enhancing overall patient care, leveraging BERT-based models.

Keyphrases

depressive symptoms
sleep quality
autism spectrum disorder
case report
bioinformatics analysis