Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series

@article{Mulyadi2021UncertaintyAwareVI,
  title={Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series},
  author={Ahmad Wisnu Mulyadi and Eunji Jun and Heung-Il Suk},
  journal={IEEE transactions on cybernetics},
  year={2021},
  volume={PP}
}
Electronic health records (EHR) consist of longitudinal clinical observations portrayed with sparsity, irregularity, and high dimensionality, which become major obstacles in drawing reliable downstream clinical outcomes. Although there exist great numbers of imputation methods to tackle these issues, most of them ignore correlated features, temporal dynamics, and entirely set aside the uncertainty. Since the missing value estimates involve the risk of being inaccurate, it is appropriate for the… 
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