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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


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

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