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Role of Cardioflux in Predicting Coronary Artery Disease (CAD) Outcomes
Clinical Trial ID NCT03968809
PubWeight™ 0.00
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🔗 Visit the ClinicalTrials.gov page for NCT03968809
Top papers
Rank
Title
Journal
Year
PubWeight™
‹?›
1
Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association.
Circulation
2017
2.76
2
Diagnostic value of magnetocardiography in coronary artery disease and cardiac arrhythmias: a review of clinical data.
Int J Cardiol
2013
1.64
3
Usefulness of magnetocardiogram to detect unstable angina pectoris and non-ST elevation myocardial infarction.
Am J Cardiol
2008
0.85
4
Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis.
Eur Heart J
2017
0.78
5
Diagnostic outcomes of magnetocardiography in patients with coronary artery disease.
Int J Clin Exp Med
2015
0.75
6
Magnetocardiography based spatiotemporal correlation analysis is superior to conventional ECG analysis for identifying myocardial injury.
Ann Biomed Eng
2008
0.75
7
Repolarization Heterogeneity of Magnetocardiography Predicts Long-Term Prognosis in Patients with Acute Myocardial Infarction.
Yonsei Med J
2016
0.75
8
Repolarization Heterogeneity of Magnetocardiography Predicts Long-Term Prognosis in Patients with Acute Myocardial Infarction.
Yonsei Med J
2016
0.75
9
Predictive value of the complex magnetocardiographic index in patients with intermediate pretest probability of chronic coronary artery disease: results of a two-center study.
Coron Artery Dis
2014
0.75
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