Using LLMs to extract diagnoses from clinical texts in psychiatry
Publication date
Authors
DOI
Document Type
Master Thesis
Metadata
Show full item recordCollections
License
CC-BY-NC-ND
Abstract
A pre-trained Transformer was inplemented wirh the aim of optimizing the extraction of diagnosis classifications from Dutch psychiatric texts. Within this process, the following attributes were compared: data used for pre-training, the classification method and oversampling.
Keywords
Transformer; Large Language Model; Psychiatry; Diagnosis Classification