Application of neural networks to the classification of giant cell arteritis.

@article{Astion1994ApplicationON,
  title={Application of neural networks to the classification of giant cell arteritis.},
  author={Michael L. Astion and Mark H. Wener and Robert G. Thomas and Gene G. Hunder and Daniel A. Bloch},
  journal={Arthritis and rheumatism},
  year={1994},
  volume={37 5},
  pages={
          760-70
        }
}
OBJECTIVE Neural networks are a group of computer-based pattern recognition methods that have recently been applied to clinical diagnosis and classification. In this study, we applied one type of neural network, the backpropagation network, to the diagnostic classification of giant cell arteritis (GCA). METHODS The analysis was performed on the 807 cases in the vasculitis database of the American College of Rheumatology. Classification was based on the 8 clinical criteria previously used for… CONTINUE READING
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