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

Headache Disorders Clinical Trial

— NLPH SPEECH  

Official title:

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

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT05204316
• Other study ID #: BC-10619
• Status: Completed
• Phase: N/A
• Start date: January 13, 2022
• Est. completion date: December 31, 2023

Study information

• Verified date: May 2024
• Source: University Hospital, Ghent
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial 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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 2
• Est. completion date: December 31, 2023
• Est. primary completion date: December 31, 2023
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

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

Related Conditions & MeSH terms

• Headache
• Headache Disorders

Intervention

Other:
• Digital Analysis of Speech
Recordings will be transcribed manually to written digital text formats, on which NLP tools such as tokenisation and lexical analysis will be performed.

Locations

Country	Name	City	State
Belgium	UZ Gent - Dienst Neurologie	Gent

Sponsors (1)

Lead Sponsor	Collaborator
University Hospital, Ghent

Country where clinical trial is conducted

Belgium, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Linguistic analysis of texts	Descriptive linguistic analysis of lexical choices, sentence formation and thematic content within the texts	through study completion, an average of 1 year
Secondary	Machine learning modelling for classification of headache disorders	To investigate the potential and learn insights of machine learning modelling to classify headache disorders based on the descriptions by participants	through study completion, an average of 1 year
Secondary	Machine learning modelling for estimation of headache impact scores	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	through study completion, an average of 1 year