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A Bayesian finite-element trained machine learning approach for predicting post-burn contraction.

Ginger EgbertsMarianne SchaaphokFred VermolenPaul van Zuijlen
Published in: Neural computing & applications (2022)
The online version contains supplementary material available at 10.1007/s00521-021-06772-3.
Keyphrases
  • finite element
  • machine learning
  • social media
  • psychometric properties
  • health information
  • resistance training
  • artificial intelligence
  • smooth muscle
  • big data
  • wound healing
  • healthcare