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

Status

Completed

Phases

Study type

Interventional

Source

ClinicalTrials.gov

Registry ID

NCT05204316

Acronym

NLPH SPEECH

Enrollment

Registered

2022-01-24

Start date

2022-01-13

Completion date

2023-12-31

Last updated

2024-05-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Headache Disorders

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.

Interventions

OTHERDigital 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.

Study design

Allocation

Intervention model

SINGLE_GROUP

Primary purpose

OTHER

Masking

NONE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

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

Design outcomes

Primary

Measure	Time frame	Description
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

Measure	Time frame	Description
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

Countries

Belgium

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026