AIBullisharXiv – CS AI · 15h ago6/10
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Few-shot Cross-country Generalization of Tabular Machine Learning and Foundation Models for Childhood Anemia Prediction under Distribution Shift
Researchers evaluated transformer-based foundation models against classical machine learning methods for predicting childhood anemia across 16 countries using DHS data. TabPFN, a tabular foundation model, demonstrated superior performance in low-data environments with better calibration metrics, suggesting foundation models offer practical advantages for global health prediction in resource-constrained settings.