Annotation of epilepsy clinic letters for natural language processing.

ABSTRACT:

Background

Natural language processing (NLP) is increasingly being used to extract structured information from unstructured text to assist clinical decision-making and aid healthcare research. The availability of expert-annotated documents for the development and validation of NLP applications is limited. We created synthetic clinical documents to address this, and to validate the Extraction of Epilepsy Clinical Text version 2 (ExECTv2) NLP pipeline.

Methods

We created 200 synthetic clinic letters based on hospital outpatient consultations with epilepsy specialists. The letters were double annotated by trained clinicians and researchers according to agreed guidelines. We used the annotation tool, Markup, with an epilepsy concept list based on the Unified Medical Language Sys

SUBMITTER: Fonferko-Shadrach B 

PROVIDER: S-EPMC11402197 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature