7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

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

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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).

          Related collections

          Author and article information

          Journal
          Arthritis Rheum.
          Arthritis and rheumatism
          0004-3591
          0004-3591
          May 1994
          : 37
          : 5
          Affiliations
          [1 ] University of Washington, Department of Laboratory Medicine, Seattle 98195.
          Article
          10.1002/art.1780370522
          8185705
          9d2e8c21-c1e0-4623-9254-3ad2599b97ce
          History

          Comments

          Comment on this article