Discrete Neural Interlingua for Ontology-Agnostic EHR Modeling
arXiv:2610.27047v1 Announce Type: new Abstract: EHR foundation models promise scalable clinical prediction across health systems, yet their deployment is constrained by a tokenization bottleneck. The same clinical concept can appear as different ontology codes, local identifiers, synonyms, or free-t
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Quelle: arXiv cs.CL (arXiv cs.CL). Original öffnen