Neural networks and early diagnosis of myocardial infarction [25]

Lancet

Volumn 347, Issue 8998, 1996, Pages 407-408

  Kennedy, R L ^a   Burton, A M ^a   Harrison, R F ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE HEART INFARCTION; ARTIFICIAL NEURAL NETWORK; DATA BASE; EARLY DIAGNOSIS; ELECTROCARDIOGRAM; EMERGENCY WARD; HUMAN; LETTER; PRIORITY JOURNAL; STATISTICAL ANALYSIS; UNSTABLE ANGINA PECTORIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EMERGENCY; HEART INFARCTION; NOTE; SENSITIVITY AND SPECIFICITY; TIME; ELECTROCARDIOGRAPHY;

DIAGNOSIS, COMPUTER-ASSISTED; EMERGENCIES; HUMANS; MYOCARDIAL INFARCTION; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; TIME FACTORS; ELECTROCARDIOGRAPHY;

EID: 0030046546     PISSN: 01406736     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0140-6736(96)90592-9     Document Type: Letter

References (7)

1. Wg Baxt J. Skora Prospective validation of artificial neural network trained to identify acute myocardial infarction Lancet 347 1996 12 15
2. Rf Harrison Sj Marshall Rl Kennedy Early diagnosis of heart attacks: a neurocomputational approach vol 1 July 1991 Proceedings of the Joint International Conference on Neural Networks, Seattle, USA p 1-4
3. Rl Kennedy Rf Harrison Sj Marshal Do we need computer-based decision support for the diagnosis of acute chest pain? J R Soc Med 86 1993 31 34
4. Rl Kennedy Hs Fraser A. Burton Development of an artificial neural network training to diagnose myocardial infarction from clinical and ECG data Eur Heart J 16 suppl 1995 2013
5. Rl Kennedy Am Burton Hs Fraser Dj Steedman Rf Harrison Development and validation of logistic regression models for the early diagnosis of acute myocardial infarction Eur Heart J 1996 (in press)
6. Wg Baxt J. Skora Prospective validation of artificial neural network trained to identify acute myocardial infarction Lancet 347 1996 12 15
7. I. Aleksander H. Morton Neurons and symbols 1993 Chapman and Hall London 24-48