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

NCT05204316 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 2

Last updated 2024-05-16

No results posted yet for this study

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.

Conditions

  • Headache Disorders

Interventions

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.

Sponsors & Collaborators

  • University Hospital, Ghent

    lead OTHER

Study Design

Allocation
NA
Purpose
OTHER
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-01-13
Primary Completion
2023-12-31
Completion
2023-12-31

Countries

  • Belgium

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05204316 on ClinicalTrials.gov