1 code implementation • 13 Feb 2024 • Daiqi Gao, Yuanjia Wang, Donglin Zeng
Therefore, our objective is to learn an ITR that not only maximizes the value function for the primary outcome, but also approximates the optimal rule for the secondary outcomes as closely as possible.
no code implementations • 25 Jan 2024 • Xingche Guo, Donglin Zeng, Yuanjia Wang
To measure reward processing, patients perform computer-based behavioral tasks that involve making choices or responding to stimulants that are associated with different outcomes.
no code implementations • NeurIPS 2021 • Yuan Chen, Wenbo Fei, Qinxia Wang, Donglin Zeng, Yuanjia Wang
COVID-19 pandemic has caused unprecedented negative impacts on our society, including further exposing inequity and disparity in public health.
no code implementations • NeurIPS 2020 • Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang
This learning framework is based on the measurement theory in psychiatry for modeling multiple disease diagnostic measures as arising from the underlying causes (true mental states).
no code implementations • 30 Oct 2020 • Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang
This learning framework is based on the measurement theory in psychiatry for modeling multiple disease diagnostic measures as arising from the underlying causes (true mental states).