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A Machine Learning Challenge: Detection of Cardiac Amyloidosis Based on Bi-Atrial and Right Ventricular Strain and Cardiac Function.

Jan EcksteinNegin MoghadasiHermann KöerperichElena Weise ValdésVanessa SciaccaLech PaluszkiewiczWolfgang BurchertMisagh Piran
Published in: Diagnostics (Basel, Switzerland) (2022)
SVM RBF kernel achieved competitive diagnostic accuracies under supervised conditions. Machine learning of multi-chamber cardiac strain and function may offer novel perspectives for non-contrast clinical decision-support systems in CA diagnostics.
Keyphrases
  • machine learning
  • clinical decision support
  • artificial intelligence
  • left ventricular
  • big data
  • electronic health record
  • magnetic resonance
  • deep learning
  • heart failure
  • multiple myeloma