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. The methods will be applied to large-scale clinical cancer data. A central application will be quantifying uncertainty in information extracted from medical reports and propagating this uncertainty
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, longitudinal patient and population registries and biobanks. Project description Large language models (LLMs) enable the extraction of clinical information from unstructured medical text. However, current LLM
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