AI for Reliable Public Health Guidance Using Official Data

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This proposal outlines a public health AI system aimed at improving health query reliability using official data sources. It employs advanced algorithms like BM25 and semantic parsing with reciprocal rank fusion to enhance accuracy and context understanding. The system supports handling abbreviations, basic health queries, and directs complex cases to professionals. By ensuring credible and accessible medical information, it seeks to boost public trust in health AI, with future plans for...