Deep learning assessment of left ventricular hypertrophy based on electrocardiogram

HIGHLIGHTS

  • who: Xujing Xie and collaborators from the United Kingdom University College London have published the paper: Deep learning assessment of left ventricular hypertrophy based on electrocardiogram, in the Journal: (JOURNAL)
  • what: The model with the best performance and corresponding hyper-parameters were selected, and then the parameters of the best model were utilized for LVH prediction based on ECG. The models showed similar sensitivity to predict eccentric and concentric hypertrophy in female patients, and even higher sensitivity for eccentric hypertrophy in male patients. The overall work by ensuring that questions on the accuracy or integrity . . .

     

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