no code implementations • 8 Jul 2020 • William Hua, Hongyuan Mei, Sarah Zohar, Magali Giral, Yanxun Xu
In the second step, we propose a policy gradient method to learn the personalized optimal clinical decision that maximizes the patient survival by interacting the MTPP with the model on clinical observations while accounting for uncertainties in clinical observations learned from the posterior inference of the Bayesian joint model in the first step.
Methodology