The experiment highlights the potential of GRU-D-Weibull as a suitable candidate for individualized endpoint risk management, utilizing real-time clinical data ...

Aug 14, 2023 · In this study, we propose a novel approach, GRU-D-Weibull, which combines gated recurrent units with decay (GRU-D) to model the Weibull ...

A novel real-time endpoint prediction provides native missing parameterization and survival distribution during follow-up.

Mar 4, 2024 · We propose a novel predictive modeling approach, GRU-D-Weibull, which models Weibull distribution leveraging gated recurrent units with decay ( ...

In this study, we propose a novel approach, GRU-D-Weibull, which combines gated recurrent units with decay (GRU-D) to model the Weibull distribution. Our method ...

The experiment highlights the potential of GRU-D-Weibull as a suitable candidate for individualized endpoint risk management, utilizing real-time clinical ...

Request PDF | On Nov 1, 2023, Xiaoyang Ruan and others published GRU-D-Weibull: A novel real-time individualized endpoint prediction | Find, read and cite ...

GRU-D-Weibull: A novel real-time individualized endpoint prediction. https://doi.org/10.1016/j.artmed.2023.102696 ·. Journal: Artificial Intelligence in ...

Nov 20, 2023 · GRU-D-Weibull: A novel real-time individualized endpoint prediction #mayoclinickidney #EHRData #ai · @wisit661 · @hongfangliu.

Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction.