Uncertainty estimation for deep learning-based automated analysis of 12-lead electrocardiograms.

Jeroen F VrankenRutger R van de LeurDeepak K GuptaLuis E Juarez OrozcoRutger J HassinkPim van der HarstPieter A DoevendansSadaf GulshadRené van Es

Published in: European heart journal. Digital health (2021)

Uncertainty estimation is warranted in automated DNN-based ECG classification and its accurate estimation enables intermediate quality control in the clinical implementation of deep learning. This is an important step towards the clinical applicability of automated ECG diagnosis using DNNs.

Keyphrases

deep learning
machine learning
quality control
artificial intelligence
convolutional neural network
heart rate variability
heart rate
primary care
healthcare
high throughput
quality improvement
blood pressure
mass spectrometry