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Symbolic Regression Model To Predict Choledocholithiasis

NCT04410848 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2020-06-01

No results posted yet for this study

Summary

Choledocholithiasis refers to the presence of gallstones within the common bile duct. It is proposed to look for markers that help in the diagnosis and in differentiating between retained and migrated gallstones. The selection of patients is a very important aspect, due to the economic aspects and possible complications. Taking advantage of the development of technology, the improvement in computer systems, the use of artificial intelligence and a symbolic regression model that works to predict the presence of choledocholithiasis and provide evidence that clarifies the treatment of patients with this pathology, especially in this group where there is a bigger controversy.

Conditions

  • Common Bile Duct Calculi

Interventions

OTHER

To determine the diagnostic of Choledocholithiasis with symbolic regression model

To determine the diagnostic of Choledocholithiasis with symbolic regression model

Sponsors & Collaborators

  • Hospital Universitario Dr. Jose E. Gonzalez

    lead OTHER

Principal Investigators

  • José A. González González, MD · José Eleuterio González University Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-06-07
Primary Completion
2020-05-30
Completion
2020-07-31

Countries

  • Mexico

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 NCT04410848 on ClinicalTrials.gov