NLP Headache Speech (NLPH-SPEECH): a Cross-sectional Study on Natural Language Processing Analysing Spoken Monologues by Headache Patients

Not Applicable

Completed

• Conditions: Headache Disorders
• Interventions: Other: Digital Analysis of Speech

• Registration Number: NCT05204316
• Lead Sponsor: University Hospital, Ghent

Brief Summary

The research collects spoken descriptions of headache disorders by participants with headache disorders. The speech recordings are analyzed by natural language processing (NLP) tools to analyse linguistic properties of the texts and to obtain insight into the potential of NLP machine learning models for the recognition of headache syndromes of the participants.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2022-01-10
• Study First Submitted QC: 2022-01-10
• Study Start: 2022-01-13
• Study First Posted: 2022-01-24
• Primary Completion: 2023-12-31
• Study Completion: 2023-12-31
• Status Verified: 2024-05
• Last Update Submitted: 2024-05-14
• Last Update Posted: 2024-05-16

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 2

Inclusion Criteria

• is a patient of the tertiary headache clinic at Ghent University Hospital
• is 18 years or older
• has Dutch as native speaking language

Exclusion Criteria

• has difficulties in producing spoken language
• has limited or no knowledge of Dutch

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Arm && Interventions

Group	Intervention	Description
Participants	Digital Analysis of Speech	Participants will provide spoken narratives on their headache disorder

Primary Outcome Measures

Name	Time	Method
Linguistic analysis of texts	through study completion, an average of 1 year	Descriptive linguistic analysis of lexical choices, sentence formation and thematic content within the texts

Secondary Outcome Measures

Name	Time	Method
Machine learning modelling for classification of headache disorders	through study completion, an average of 1 year	To investigate the potential and learn insights of machine learning modelling to classify headache disorders based on the descriptions by participants
Machine learning modelling for estimation of headache impact scores	through study completion, an average of 1 year	To investigate the potential and learn insights of machine learning modelling to estimate headache impact scores from different validated questionnaires investigating burden of disease and quality of life

Trial Locations

Locations (1)

UZ Gent - Dienst Neurologie; 🇧🇪 Gent, Belgium