Predictive Models on Psychosocial Profile, Fatigue and Sleep Quality

Starting soon

Conditions studied: Fibromyalgia

In brief

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.

Key facts

Study ID

NCT07424534

Run by

University of Castilla-La Mancha

People needed

150

Starts

2026-02-24

Expected to finish

2026-11-30

Last updated by the study team

2026-03-05

Who can join

Age: 18 and older, up to 65. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age between 18 and 65 years.
• Fullfilled the 2010 American Collegue of Rheumathology criteria for fibromyalgia.
• Understanding of spoken and written Spanish.

You may not qualify if…

• Diagnosed psychiatric pathology.
• Rheumatic pathology not medically controlled.
• Neurological pathologies that make evaluations difficult.

Where it is running

• Rafael Velasco Velasco — Seville, Seville, Spain

Full record on ClinicalTrials.gov

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