NCT05153876已完成不适用
NLP Headache Open: an Open Internet-based Survey and Natural Language Processing Project Analysing Written Monologues by Headache Patients
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 1,150
- 试验地点
- 1
- 主要终点
- Lexical diversity and differences between migraine and cluster headache
研究概览
简要总结
Headache disorders are among the most prevalent medical conditions worldwide. The diagnosis of headache disorders is based on medical history taking. Digital solutions such as natural language processing (NLP) may be of aid to understand the linguistic aspects of headache attack and headache related disability descriptions by patients. Participants will provide a written description of their headache disorder. The results will hopefully lead to a better understanding of the potential use of NLP in headache disorders.
研究设计
- 研究类型
- Observational
- 观察模型
- Ecologic Or Community
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- 未提供
结局指标
主要结局
Lexical diversity and differences between migraine and cluster headache
时间窗: through study completion, an average of 1 year
Chi-square measurement of a word token used by migraine patients versus cluster headache patients
次要结局
- F1 scores of machine learning experiments for the correct classification of headache disorders(through study completion, an average of 1 year)
- RAND SF-36 Dutch version score calculation with text input(through study completion, an average of 1 year)
- Accuracy of machine learning experiments for the correct classification of headache disorders(through study completion, an average of 1 year)
- Word counts(through study completion, an average of 1 year)
- Sentences counts(through study completion, an average of 1 year)
- Paragraph counts(through study completion, an average of 1 year)
- Migraine Specific Questionaire versie 2.1 [MSQv2.1] score calculation with text input(through study completion, an average of 1 year)
- Term-frequency inverse document frequency scores (TF-IDF)(through study completion, an average of 1 year)
- Migraine Disabillity Assessment [MIDAS] score calculation with text input(through study completion, an average of 1 year)
研究者
研究点 (1)
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