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Predictive Models on Pain and Severity in FM Patients

NCT04918602 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 150

Last updated 2021-06-09

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 objectives the research project intends: to predicting Fibromyalgia severity of patients based on clinical variables; to assess the relevance of social-psycho-demographic variables on the fibromyalgia severity of the patients; to predict the pain suffered by the patients as well as the impact of the fibromyalgia on patient's life; to categorize fibromyalgia group of patients depending on their levels of Fibromyalgia severity.

Conditions

  • Fibromyalgia

Sponsors & Collaborators

  • University of Castilla-La Mancha

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-06-30
Primary Completion
2021-11-30
Completion
2021-11-30

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 NCT04918602 on ClinicalTrials.gov