Using natural language processing to automatically classify written self-reported narratives by patients with migraine or cluster headache.

ABSTRACT:

Background

Headache medicine is largely based on detailed history taking by physicians analysing patients' descriptions of headache. Natural language processing (NLP) structures and processes linguistic data into quantifiable units. In this study, we apply these digital techniques on self-reported narratives by patients with headache disorders to research the potential of analysing and automatically classifying human-generated text and information extraction in clinical contexts.

Methods

A prospective cross-sectional clinical trial collected self-reported narratives on headache disorders from participants with either migraine or cluster headache. NLP was applied for the analysis of lexical, semantic and thematic properties of the texts. Machine learning (ML) algorithms were

SUBMITTER: Vandenbussche N 

PROVIDER: S-EPMC9524092 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature