Usefulness of serial electrocardiograms for diagnosis of acute myocardial infarction

American Journal of Cardiology

Volumn 88, Issue 5, 2001, Pages 478-481

  Ohlsson, Mattias ^a   Öhlin, Hans ^a   Wallerstedt, Susanna Maria ^b   Edenbrandt, Lars ^a,c  

^a LUND UNIVERSITY   (Sweden)

^b UNIVERSITY OF GOTHENBURG   (Sweden)

^c LUND UNIVERSITY HOSPITAL   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE HEART INFARCTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CONTROLLED STUDY; DIAGNOSTIC TEST; ELECTROCARDIOGRAM; ELECTROCARDIOGRAPHY; EMERGENCY WARD; HUMAN; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SIGNAL DETECTION;

AGED; AGED, 80 AND OVER; CASE-CONTROL STUDIES; ELECTROCARDIOGRAPHY; EMERGENCY SERVICE, HOSPITAL; FEMALE; HUMANS; MALE; MIDDLE AGED; MYOCARDIAL INFARCTION; NEURAL NETWORKS (COMPUTER); PROBABILITY; RETROSPECTIVE STUDIES; ROC CURVE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0035451345     PISSN: 00029149     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0002-9149(01)01722-2     Document Type: Article

References (10)

1. Acute myocardial infarction detected in the 12-lead ECG by artificial neural networks
2. Introduction to neural networks
3. On Langevin updating in multilayer perceptrons
4. Comparing biases for minimal network construction with backpropagation
5. JETNET 3.0: A versatile artificial neural network package
6. The bootstrap: A tutorial
7. Agreement between artificial neural networks and experienced electrocardiographer on electrocardiographic diagnosis of healed myocardial infarction
8. Improved classifications of myocardial bull's-eye scintigrams with a computer-based decision support system