Develop Formal Explanation Generation
implementationChallengeNovember 21, 2025
Prompt Content
Create a module that translates the Bayesian model's probabilistic outputs and the LLM's reasoning into formal abductive latent explanations. These explanations should clearly link patient data, medical evidence, and model's conclusions, including the quantified uncertainty, in a format understandable by clinicians.
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