Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series.
Kristoffer WickstrømKarl Øyvind MikalsenMichael KampffmeyerArthur RevhaugRobert JenssenPublished in: CoRR (2020)
Keyphrases
- chronic hepatitis
- medical databases
- cost effective
- decision trees
- temporal abstractions
- dynamic time warping
- clinical data
- patient data
- non stationary
- uncertain data
- ensemble learning
- confidence intervals
- decision theory
- clinical practice
- models built
- multivariate time series
- decision making
- base classifiers
- prediction intervals
- neural network ensemble
- disease diagnosis
- deep learning
- clinical applications
- possibility theory
- medical domain
- clinical trials
- online auctions