Text-serialized LLM embeddings produced higher silhouette scores than UMAP/FAMD-based clustering on synthetic pediatric sepsis data, yielding five clinically described subgroups.
The coming age of data-driven medicine: translational bioinformatics’ next frontier
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Contextual Phenotyping of Pediatric Sepsis Cohort Using Large Language Models
Text-serialized LLM embeddings produced higher silhouette scores than UMAP/FAMD-based clustering on synthetic pediatric sepsis data, yielding five clinically described subgroups.