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OpenTrials
Completed

NCT Number: NCT05204316

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

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.

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Key information

Conditions

Headache Disorders Brain Diseases Central Nervous System Diseases Nervous System Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

UZ Gent - Dienst Neurologie

Ghent, 9000, Belgium

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Digital Analysis of Speech

Other

Recordings will be transcribed manually to written digital text formats, on which NLP tools such as tokenisation and lexical analysis will be performed.

Primary outcomes

  1. Linguistic analysis of texts

    Time frame: through study completion, an average of 1 year

    Descriptive linguistic analysis of lexical choices, sentence formation and thematic content within the texts

Secondary outcomes

  1. Machine learning modelling for classification of headache disorders

    Time frame: 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

  2. Machine learning modelling for estimation of headache impact scores

    Time frame: 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

Sponsors and collaborators

Lead sponsor

University Hospital, Ghent

Other

Registry information

Acronym: NLPH SPEECH

Important dates

Study start
2022
Primary completion
2023
Study completion
2023
First posted
Jan 24, 2022
Registry last updated
May 16, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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