Multi-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time Series
Author:
Affiliation:
1. College of Science and Engineering, Flinders University,Adelaide,SA,Australia
2. College of Life Sciences, Northwest A&F University,Yangling,Shaanxi,China
3. College of Medicine, University of Florida,Gainesville,FL,USA
Funder
NIH
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10628445/10628534/10628834.pdf?arnumber=10628834
Reference21 articles.
1. Recurrent Neural Networks for Multivariate Time Series with Missing Values
2. Brits: Bidirectional recurrent imputation for time series;Cao;Advances in neural information processing systems,2018
3. Multivariate time series imputation with generative adversarial networks;Luo;Advances in neural information processing systems,2018
4. E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation
5. DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series
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