Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series
Deep learning-based support systems have demonstrated encouraging results in numerous clinical applications involving the processing of time series data. While such systems often are very accurate, they have no inherent mechanism for explaining what influenced the predictions, which is critical for...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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Subjects: | |
Online Access: | View Fulltext in Publisher |