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IPM
30
YEARS OLD

“School of Cognitive Sciences”

Paper   IPM / Cognitive Sciences / 7433
   School of Cognitive Sciences
  Title: Prediction of lupus nephritis in patients with systemic lupus erythematosus using artificial neural networks
  Author(s):
1 . R. Rajimehr
2 . S. Farsiu
3 . L. Montaser Kouhsari
4 . A. Bidari
5 . C. Lucas
6 . S. Yousefian
7 . F. Bahrami
  Status: Published
  Journal: Lupus
  No.: 8
  Vol.: 11
  Year: 2002
  Pages: 485-492
  Supported by: IPM
  Abstract:
Artificial neural networks are intelligent systems that have been successfully used for prediction in different medical fields. In this study, efficiency of neural networks for predicting of lupus nephritis in patients with systemic lupus erythematosus (SLE) was compared with logistic regression model and clinicians' diagnosis. Overall accuracy, sensitivity and specificity of the optimal neural network were 68.69, 73.77 and 62.96

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