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Informatics can identify systemic sclerosis (SSc) patients at risk for scleroderma renal crisis.

Doug ReddTracy M. FrechMaureen A. MurtaughJulia RhiannonQing T. Zeng
Published in: Comput. Biol. Medicine (2014)
Keyphrases
  • high risk
  • medical data
  • early warning
  • case study
  • risk assessment
  • acute coronary syndrome
  • financial crisis
  • normal subjects
  • data sets
  • neural network
  • clinical data
  • risk factors
  • using artificial neural networks