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Simple models vs. deep learning in detecting low ejection fraction from the electrocardiogram.

John Weston HughesSulaiman SomaniPierre A EliasJames TooleyAlbert J RogersTimothy PoteruchaChristopher M HaggertyMichael SalernoDavid OuyangEuan AshleyJames Y ZouMarco V Perez
Published in: European heart journal. Digital health (2024)
Our study demonstrates the value of simple electrocardiographic models that perform nearly as well as deep learning models, while being much easier to implement and interpret.
Keyphrases
  • deep learning
  • ejection fraction
  • aortic stenosis
  • artificial intelligence
  • convolutional neural network
  • left ventricular
  • heart failure
  • coronary artery disease
  • aortic valve