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

This page presents selected fields from the linked source record. It does not add a medical interpretation.

Open original source record ↗

Record identity and dates

Source

ClinicalTrials.gov

Source record ID

NCT05803512

Title field or adapter rule

protocolSection.identificationModule.officialTitle

Ingested At

2026-04-28T10:39:33.862254+00:00

Published At

2023-09-26T00:00:00+00:00

Record Updated At

2023-09-26

Timestamp Basis

source retrieval time was not retained by the feed adapter

Date limitation

source retrieval time was not retained by the feed adapter

Fields recorded by this source

protocolSection.conditionsModule.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"]

protocolSection.statusModule.lastUpdatePostDateStruct.date

"2023-09-26"

protocolSection.identificationModule.nctId

"NCT05803512"

protocolSection.identificationModule.officialTitle

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

protocolSection.statusModule.overallStatus

"COMPLETED"

protocolSection.designModule.phases

[]

protocolSection.statusModule.resultsFirstPostDateStruct.date

""

Study condition terms

• 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 (protocolSection.conditionsModule.conditions)

Intervention details are not present in the imported fields for this record. No drug-condition relationship is inferred from co-listing.

This index keeps the source fields it imported; it may not contain the complete original record. Verify wording and context in the linked source.