AI RESEARCH
A Nationwide Japanese Medical Claims Foundation Model: Balancing Model Scaling and Task-Specific Computational Efficiency
arXiv CS.LG
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ArXi:2604.22348v1 Announce Type: new Clinical risk prediction using longitudinal medical data s individualized care. Self-supervised foundation models have emerged as a promising approach for leveraging large-scale unlabeled healthcare records. In natural language processing, scaling laws suggest that larger models achieve predictably lower pre