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

Turkish Ministry of Health Izmir Teaching Hospital

Status

Unknown

Conditions

Acute Coronary Syndrome

Clinical Decision Support System

Treatments

Diagnostic Test: Further cardiac imaging

Study type

Observational

Funder types

Other

Identifiers

NCT03286491

TurkishMOHITH

Details and patient eligibility

About

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.

Full 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.

Enrollment

400 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

Presenting to emergency department with acute chest pain consistent with acute coronary syndrome

Exclusion criteria

Patients with less than 18 years old
Patients presenting with ST-segment elevation myocardial infarction
Patients presenting with other causes of acute chest pain (pneumothorax, pulmonary -embolism, aortic dissection
Decline to participate in study