Develop Formal Explanation Generation

implementationChallenge

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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