Corpus ID: 237592831

Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction

  title={Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction},
  author={Tareen Dawood and Chen Chen and Robin Andlauer and Baldeep Singh Sidhu and Bram Ruijsink and Justin S. Gould and Bradley Porter and Mark K. Elliott and Vishal S. Mehta and Christopher A. Rinaldi and Esther Puyol-Ant'on and Reza Razavi and Andrew P. King},
Evaluation of predictive deep learning (DL) models beyond conventional performance metrics has become increasingly important for applications in sensitive environments like healthcare. Such models might have the capability to encode and analyse large sets of data but they often lack comprehensive interpretability methods, preventing clinical trust in predictive outcomes. Quantifying uncertainty of a prediction is one way to provide such interpretability and promote trust. However, relatively… Expand

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