Predictive Models on Psychosocial Profile, Fatigue and Sleep Quality
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Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 65 years old?
Source: NCT07424534, who can take part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- University of Castilla-La Mancha
- Trial code
- NCT07424534
- Record updated
- 5 March 2026
- Original description
The primary goal of this research project is to develop different prediction models in fibromyalgia disease through the application of machine learning techniques and to assess the explainability of the results. As specific objective the research project intends to evaluate the influence of psychosocial variables, fatigue, and sleep quality on the prediction of disease severity in patients with fibromyalgia using an artificial intelligence-based model.Read full original descriptionShow less
Development of Artificial Intelligence-Based Predictive Models to Analyze the Impact of Psychosocial Profile, Fatigue, and Sleep Quality on Disease Severity in Patients With Fibromyalgia
The primary goal of this research project is to develop different prediction models in fibromyalgia disease through the application of machine learning techniques and to assess the explainability of the results. As specific objective the research project intends to evaluate the influence of psychosocial variables, fatigue, and sleep quality on the prediction of disease severity in patients with fibromyalgia using an artificial intelligence-based model.
Inclusion: Age between 18 and 65 years; Fullfilled the 2010 American Collegue of Rheumathology criteria for fibromyalgia; Understanding of spoken and written Spanish.
Exclusion: Diagnosed psychiatric pathology; Rheumatic pathology not medically controlled; Neurological pathologies that make evaluations difficult.