AI RESEARCH
Maximin Learning of Individualized Treatment Effect on Multi-Domain Outcomes
arXiv CS.LG
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ArXi:2603.27114v1 Announce Type: new Precision mental health requires treatment decisions that account for heterogeneous symptoms reflecting multiple clinical domains. However, existing methods for estimating individualized treatment effects (ITE) rely on a single summary outcome or a specific set of observed symptoms or measures, which are sensitive to symptom selection and limit generalizability to unmeasured yet clinically relevant domains.