Agreement Between Artificial Neural Networks and Experienced Electrocardiographer on Electrocardiographic Diagnosis of Healed Myocardial Infarction
- 31 October 1996
- journal article
- research article
- Published by Elsevier in Journal of the American College of Cardiology
- Vol. 28 (4) , 1012-1016
- https://doi.org/10.1016/s0735-1097(96)00269-0
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Artificial neural networks for recognition of electrocardiographic lead reversalThe American Journal of Cardiology, 1995
- Artificial neural networks for the electrocardiographic diagnosis of healed myocardial infarctionThe American Journal of Cardiology, 1994
- JETNET 3.0—A versatile artificial neural network packageComputer Physics Communications, 1994
- Recognition of ventricular fibrillation using neural networksMedical & Biological Engineering & Computing, 1994
- Classification of electrocardiographic ST-T segments -- human expert vs artificial neural networkEuropean Heart Journal, 1993
- Neural Network Classifiers Estimate Bayesian a posteriori ProbabilitiesNeural Computation, 1991
- Introduction to the Theory of Neural ComputationPhysics Today, 1991
- Use of an Artificial Neural Network for the Diagnosis of Myocardial InfarctionAnnals of Internal Medicine, 1991
- Parallel Distributed ProcessingPublished by MIT Press ,1986