AI RESEARCH
A Causal Framework for Mitigating Data Shifts in Healthcare
arXiv CS.AI
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ArXi:2603.13595v1 Announce Type: cross Developing predictive models that perform reliably across diverse patient populations and heterogeneous environments is a core aim of medical research. However, generalization is only possible if the learned model is robust to statistical differences between data used for