Neural network analysis of biochemical markers for early assessment of acute myocardial infarction.

Neural network analysis was applied for early diagnosis/exclusion of acute myocardial infarction and prediction of infarct size. Eighty-eight patients admitted with onset of chest pain within 8 hours were included. Frequent blood samples for measurement of myoglobin, CK-MB and troponin-T were obtained and used in the development of a set of neural network components of a decision support system. The results indicate that this approach could provide useful support for assessment of patients with suspected AMI.