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.

Usage Tips

Copy the prompt and paste it into your preferred AI tool (Claude, ChatGPT, Gemini)

Customize placeholder values with your specific requirements and context

For best results, provide clear examples and test different variations