4 citations · 4 across the 3 of their papers we have counts for
4 papers
Multi-view Integration Learning for Irregularly-sampled Clinical Time Series
Yurim Lee, Eunji Jun, Heung-Il Suk
Electronic health record (EHR) data is sparse and irregular as it is recorded at irregular time intervals, and different clinical variables are measured at each observation point.…
Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression
Wonsik Jung, Eunji Jun, Heung-Il Suk
Alzheimer's disease (AD) is known as one of the major causes of dementia and is characterized by slow progression over several years, with no treatments or available medicines. In…
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction
Eunji Jun, Ahmad Wisnu Mulyadi, Jaehun Choi +1
Electronic health records (EHR) are characterized as non-stationary, heterogeneous, noisy, and sparse data; therefore, it is challenging to learn the regularities or patterns inher…
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series
Ahmad Wisnu Mulyadi, Eunji Jun, Heung-Il Suk
Electronic health records (EHR) consist of longitudinal clinical observations portrayed with sparsity, irregularity, and high-dimensionality, which become major obstacles in drawin…