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Predictive Models on Psychosocial Profile, Fatigue and Sleep Quality

NCT07424534 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 150

Last updated 2026-03-05

No results posted yet for this study

Summary

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.

Conditions

  • Fibromyalgia

Sponsors & Collaborators

  • Tampere University

    collaborator OTHER

  • Andaluz Health Service

    collaborator OTHER_GOV

  • University of Castilla-La Mancha

    lead OTHER

Principal Investigators

  • Rafael Velasco Velasco, Mr. · University of Castilla-La Mancha

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-02-24
Primary Completion
2026-11-30
Completion
2026-11-30

Countries

  • Spain

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07424534 on ClinicalTrials.gov