27 citations · 68 across the 25 of their papers we have counts for
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cs.LG2026
Maximin Learning of Individualized Treatment Effect on Multi-Domain Outcomes
Yuying Lu, Wenbo Fei, Yuanjia Wang +1
Precision mental health requires treatment decisions that account for heterogeneous symptoms reflecting multiple clinical domains. However, existing methods for estimating individu…
cs.LG2024
HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
Xingche Guo, Donglin Zeng, Yuanjia Wang
Major depressive disorder (MDD) presents challenges in diagnosis and treatment due to its complex and heterogeneous nature. Emerging evidence indicates that reward processing abnor…
cs.LG2020★ 2 cited
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments
Yuan Chen, Donglin Zeng, Tianchen Xu +1
For mental disorders, patients' underlying mental states are non-observed latent constructs which have to be inferred from observed multi-domain measurements such as diagnostic sym…