Medical multivariate time series imputation and forecasting based on a recurrent conditional Wasserstein GAN and attention.
Journal:
Journal of biomedical informatics
Published Date:
Feb 13, 2023
Abstract
OBJECTIVE: In the fields of medical care and research as well as hospital management, time series are an important part of the overall data basis. To ensure high quality standards and enable suitable decisions, tools for precise and generic imputations and forecasts that integrate the temporal dynamics are of great importance. Since forecasting and imputation tasks involve an inherent uncertainty, the focus of our work lay on a probabilistic multivariate generative approach that samples infillings or forecasts from an analysable distribution rather than producing deterministic results.