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Prediction of perioperative transfusions using an artificial neural network.

Steven WalczakVic Velanovich
Published in: PloS one (2020)
ANNs can predict >75% of the patients who will require transfusion and 70% of those who will not. Increasing specificity to 80% still enables a sensitivity of almost 67%. The unique contribution of this research is the utilization of a single ANN model to predict transfusions across a broad range of surgical procedures.
Keyphrases
  • neural network
  • cardiac surgery
  • patients undergoing
  • acute kidney injury
  • sickle cell disease
  • structural basis