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Predicting Female Pelvic Tilt and Lumbar Angle Using Machine Learning in Case of Urinary Incontinence and Sexual Dysfunction

NCT05803512 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 92

Last updated 2023-09-26

No results posted yet for this study

Summary

The purpose of this study is to Predicting female pelvic tilt and lumbar angle using machine learning in case of urinary incontinence and sexual dysfunction

Conditions

  • The Purpose of This Study is to Predicting Female Pelvic Tilt and Lumbar Angle Using Machine Learning in Case of Urinary Incontinence and Sexual Dysfunction

Sponsors & Collaborators

  • Deraya University

    lead OTHER

Principal Investigators

  • tarek Abd Elhafez · Deraya University

Eligibility

Min Age
30 Years
Max Age
40 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-02-01
Primary Completion
2023-04-01
Completion
2023-04-15

Countries

  • Egypt

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 NCT05803512 on ClinicalTrials.gov