Time Series Forecasting, Classification, Deep Learning, Recurrent Neural Network, Missing Data.
y-variable In this article, researchers used RNNs, which have a great performance on time-series forecasting for variable-length dependencies and long-term temporal dependencies. This research designed The structure of the models incorporating the patterns of missingness for time-series