An Open Internet-based Survey and Natural Language Processing Project Analysing Written Monologues by Headache Patients (NLPH-OPEN)
NLP Headache Open: an Open Internet-based Survey and Natural Language Processing Project Analysing Written Monologues by Headache Patients
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Nicolas Vandenbussche, MD
- Phone Number: 093324529
- Email: neurologie.neurochirurgie@uzgent.be
Study Contact Backup
- Name: Koen Paemeleire, M.D., Ph.D.
- Phone Number: 093324529
Study Locations
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-
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Ghent, Belgium, 9000
- University Hospital, Ghent: Department of Neurology
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- 18 year or older
- Have a headache disorder with at least one headache attack over the last three months
- voluntary participation
- accepted the patient information sheet and gave informed consent
Study Plan
How is the study designed?
Design Details
- Observational Models: Ecologic or Community
- Time Perspectives: Cross-Sectional
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Participants
Participants filling in the questionnaires
|
Headache attack descriptions, Headache related disability descriptions, Questionnaires, MIDAS, MSQv2.1,
SF36
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Lexical diversity and differences between migraine and cluster headache
Time Frame: through study completion, an average of 1 year
|
Chi-square measurement of a word token used by migraine patients versus cluster headache patients
|
through study completion, an average of 1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accuracy of machine learning experiments for the correct classification of headache disorders
Time Frame: through study completion, an average of 1 year
|
Machine learning experiments to investigate the potential to build modelling algorithms that accurately classify the self-given diagnosis by the patient based on text.
|
through study completion, an average of 1 year
|
|
F1 scores of machine learning experiments for the correct classification of headache disorders
Time Frame: through study completion, an average of 1 year
|
Machine learning experiments to investigate the potential to build modelling algorithms that accurately classify the self-given diagnosis by the patient based on text.
|
through study completion, an average of 1 year
|
|
Word counts
Time Frame: through study completion, an average of 1 year
|
Counts of word tokens of different headache disorder groups
|
through study completion, an average of 1 year
|
|
Sentences counts
Time Frame: through study completion, an average of 1 year
|
Counts of sentence tokens of different headache disorder groups
|
through study completion, an average of 1 year
|
|
Paragraph counts
Time Frame: through study completion, an average of 1 year
|
Counts of paragraph tokens of different headache disorder groups
|
through study completion, an average of 1 year
|
|
Term-frequency inverse document frequency scores (TF-IDF)
Time Frame: through study completion, an average of 1 year
|
TF-IDF scores of word tokens of different headache disorder groups
|
through study completion, an average of 1 year
|
|
Migraine Disabillity Assessment [MIDAS] score calculation with text input
Time Frame: through study completion, an average of 1 year
|
Machine learning experiments to investigate the potential to build modelling algorithms that accurately predict the impact score from Migraine Disabillity Assessment [MIDAS] based on text.
|
through study completion, an average of 1 year
|
|
Migraine Specific Questionaire versie 2.1 [MSQv2.1] score calculation with text input
Time Frame: through study completion, an average of 1 year
|
Machine learning experiments to investigate the potential to build modelling algorithms that accurately predict the impact score from Migraine Specific Questionaire versie 2.1 [MSQv2.1]
based on text.
|
through study completion, an average of 1 year
|
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RAND SF-36 Dutch version score calculation with text input
Time Frame: through study completion, an average of 1 year
|
Machine learning experiments to investigate the potential to build modelling algorithms that accurately predict the impact score from RAND SF-36 Dutch version based on text.
|
through study completion, an average of 1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- BC-10635
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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