no code implementations • 18 Oct 2023 • Hangbin Lee, IL DO HA, Changha Hwang, Youngjo Lee
In this paper, we propose a novel hierarchical likelihood learning framework for introducing gamma random effects into the Poisson DNN, so as to improve the prediction performance by capturing both nonlinear effects of input variables and subject-specific cluster effects.
no code implementations • 13 Jul 2023 • Hangbin Lee, IL DO HA, Youngjo Lee
For prediction of clustered time-to-event data, we propose a new deep neural network based gamma frailty model (DNN-FM).