Published May 27, 2020
| Version 1
Software
Open
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models
- 1. University of Leiden
- 2. NEC Laboratories GmBH
- 3. Honda Research Institute Europe GmBH
Description
This is the source code used in the following paper:
Ullah, S., Xu, Z., Wang, H., Menzel, S., Sendhoff, B., "Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models" 2020 IEEE World Congress on Computational Intelligence
This paper investigates the effectiveness of Supplementary Medical Information, for improving the prediction of Variational Recurrent Models in Clinical Time Series Forecasting.
Files
VRNN-TSForecasting-Code-200131-Open.zip
Files
(68.4 kB)
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