Myocardial Infarction Prediction

Prediction of Acute Myocardial Infarction With Artificial Neural Networks in Patients With Nondiagnostic Electrocardiogram

Status

Completed

Phases

Study type

Interventional

Source

ClinicalTrials.gov

Registry ID

NCT01870258

Enrollment

1100

Registered

2013-06-06

Start date

2011-01-31

Completion date

2012-06-30

Last updated

2013-06-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Artificial Neural Network, Myocardial Infarction

Keywords

Myocardial infarction, artificial neural networks, Electrocardiography

Brief summary

prediction of MI in patients with chest pain and nondiagnostic ECG was done in 2 weeks

Detailed description

Myocardial infarction remains one the leading causes of mortality and morbidity and involves a high cost of care. Early prediction can be helpful in preventing the development of myocardial infarction with appropriate diagnosis and treatment. Artificial neural networks have opened new horizons in learning about the natural history of diseases and predicting cardiac disease. Methods: A total of 935 cardiac patients with chest pain and nondiagnostic electrocardiogram (ECG) were enrolled and followed for 2 weeks in two groups based on the appearance of myocardial infarction. Two types of data were used for all patients: nominal (clinical data) and quantitative (ECG findings). Two different artificial neural networks - radial basis function (RBF) and multi-layer perceptron (MLP) - were used.

Interventions

OTHERANN prediction of myocardial infarction

Study design

Allocation

NON_RANDOMIZED

Intervention model

PARALLEL

Primary purpose

DIAGNOSTIC

Masking

QUADRUPLE (Subject, Caregiver, Investigator, Outcomes Assessor)

Eligibility

Sex/Gender

ALL

Age

40 Years to 72 Years

Healthy volunteers

Inclusion criteria

* patient with chest pain refered to ER with nondiagnostic ECG

Exclusion criteria

* 1\) Absence of a history of myocardial infarction * 2\) Absence of bundle branch block, Wolf-Parkinson-White abnormality, ventricular hypertrophy or previous ECG signs of myocardial infarction, * 3\) Absence of a history of percutaneous coronary surgery or coronary artery bypass grafting, * 4\) Absence of ECG abnormalities attributable to drugs such as digoxin or tricyclic antidepressants.

Design outcomes

Primary

Measure	Time frame
myocardial infarction	2 weeks

Secondary

Measure	Time frame	Description
hospital admission due to cardiac events	2 weeks	may be includes unstable angina, cardiac arrest or PCIor CABG

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 4, 2026