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

G

Ghent University Hospital (UZ)

Status

Completed

Conditions

Headache Disorders

Treatments

Other: Digital Analysis of Speech

Study type

Interventional

Funder types

Other

Identifiers

NCT05204316
BC-10619

Details and patient eligibility

About

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.

Enrollment

2 patients

Sex

All

Ages

18+ years old

Volunteers

No 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

Trial design

Primary purpose

Other

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

2 participants in 1 patient group

Participants
Experimental group
Description:
Participants will provide spoken narratives on their headache disorder
Treatment:
Other: Digital Analysis of Speech

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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