Viewing Study NCT01870258


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Study NCT ID: NCT01870258
Status: COMPLETED
Last Update Posted: 2013-06-06
First Post: 2013-05-24
Is NOT Gene Therapy: False
Has Adverse Events: False

Brief Title: Myocardial Infarction Prediction
Sponsor: Shiraz University of Medical Sciences
Organization:

Study Overview

Official Title: Prediction of Acute Myocardial Infarction With Artificial Neural Networks in Patients With Nondiagnostic Electrocardiogram
Status: COMPLETED
Status Verified Date: 2013-06
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
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.

Study Oversight

Has Oversight DMC: True
Is a FDA Regulated Drug?: None
Is a FDA Regulated Device?: None
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: