An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: evaluation and comparison with serum myoglobin measurements.

@article{Kennedy1997AnAN,
  title={An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: evaluation and comparison with serum myoglobin measurements.},
  author={Robert L. Kennedy and R. F. Harrison and Allison Burton and Henry Stuart Fraser and W. Greg Hamer and Donald Macarthur and R McAllum and David James Steedman},
  journal={Computer methods and programs in biomedicine},
  year={1997},
  volume={52 2},
  pages={
          93-103
        }
}
Recent studies have confirmed that artificial neural networks (ANNs) are adept at recognising patterns in sets of clinical data. The diagnosis of acute myocardial infarction (AMI) in patients presenting with chest pain remains one of the greatest challenges in emergency medicine. The aim of this study was to evaluate the performance of an ANN trained to analyse clinical data from chest pain patients. The ANN was compared with serum myoglobin measurements--cardiac damage is associated with… CONTINUE READING
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