MedTrace Logo

Clinical Decision Support System to Define 30 Day Adverse Clinical Events for Emergency Department Acute Coronary Syndromes

NCT03286491 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2017-09-18

No results posted yet for this study

Summary

Acute coronary syndromes are among main complains for patients presenting to emergency department. Risk classification systems are used to classify patients to appropriate risks and help physicians manage diagnosis strategies and treatments. Purpose of this study is to develop a clinical decision support system for patients presenting to emergency department with the help of statistical machine learning.

Conditions

  • Acute Coronary Syndrome
  • Clinical Decision Support System

Interventions

DIAGNOSTIC_TEST

Further cardiac imaging

Study patients will be reviewed whether they will have coronary interventions in 30 days

Sponsors & Collaborators

  • Turkish Ministry of Health Izmir Teaching Hospital

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-08-12
Primary Completion
2017-12-12
Completion
2018-02-01

Countries

  • Turkey (Türkiye)

Study Locations

More Related Trials

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 NCT03286491 on ClinicalTrials.gov