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.
Eligibility
Sex
ALL
Min age
18 Years
Max age
65 Years
Healthy volunteers
No
Inclusion Criteria:
* Age between 18 and 65 years.
* Fullfilled the 2010 American Collegue of Rheumathology criteria for fibromyalgia.
* Understanding of spoken and written Spanish.
Exclusion Criteria:
* Diagnosed psychiatric pathology.
* Rheumatic pathology not medically controlled.
* Neurological pathologies that make evaluations difficult.
Primary outcome measure(s)
Disease severity — Baseline For this purpose, the Spanish validated version of the Fibromyalgia Impact Questionnaire (FIQ) will be used. The questionnaire comprises several components assessing physical, psychological, and social status, as well as overall well-being. It consists of 10 items scored on 0-10 scales, yielding a total score ranging from 0 to 100, with higher scores indicating greater disease impact and poorer quality of life.
Trial sites (1)
Facility
City
Region
Status
Rafael Velasco Velasco
Seville
Seville
More University of Castilla-La Mancha trials in Spain
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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