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Predictive Models on Psychosocial Profile, Fatigue and Sleep Quality

StatusNot Yet Recruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗

Record History

  1. Secondary endpoints: details revised at 2 of 6 entriesv2
  2. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT07424534
Lead Sponsor University of Castilla-La Mancha
Collaborators: Tampere University, Andaluz Health Service
Conditions
(from sponsor)		 Fibromyalgia
Related terms Fibromyalgia
Enrollment 150 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov