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

Acute Coronary Syndrome Clinical Trial

Official title:
Development of Clinical Decision Support System to Define 30 Day Adverse Clinical Events (Non Fatal Myocardial Infarction, Cardiac Related Death or Coronary Intervention) for Patients Presenting to Emergency Department With Acute Coronary Syndrome

Clinical Trial 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.

Clinical Trial Description

Acute coronary syndromes are among main complains for patients presenting to emergency department and create a burden to emergency departments and hospitals. Risk classification systems were developed and used to classify patients to appropriate risk groups. According to risk classification, different diagnosis and treatment modalities can be used 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. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT03286491
Study type Observational
Source Turkish Ministry of Health Izmir Teaching Hospital
Contact Nesli Belen, M.D.
Phone 90-551-4363001
Email neslibelen@yahoo.com
Status Recruiting
Phase N/A
Start date August 12, 2017
Completion date February 1, 2018
View Details
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