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Research on the Diagnostic Value of Machine Learning Model Based on Clinical Data in Patients With Coronary Heart Disease

NCT05018715 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 600

Last updated 2021-09-02

No results posted yet for this study

Summary

Based on the clinical data of patients, a machine learning model for coronary heart disease diagnosis was established to evaluate whether the model could improve the accuracy of coronary heart disease diagnosis, and to evaluate its authenticity, reliability and benefits.

Conditions

Interventions

DIAGNOSTIC_TEST

Machine learning model diagnosis

Machine learning model diagnosis

Sponsors & Collaborators

  • Shihezi University

    collaborator OTHER

  • Xiang Ma

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-08-22
Primary Completion
2023-12-31
Completion
2023-12-31

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

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 NCT05018715 on ClinicalTrials.gov