A pipeline of back-translation, DeBERTa with a learned positional gating scalar, and an attention MLP reports 99.78% accuracy on the Symptom2disease benchmark.
Additionally, a comprehensive literature review is presented, summarizing key studies and methodologies in the field of medical diagnosis using NLP techniques
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An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating
A pipeline of back-translation, DeBERTa with a learned positional gating scalar, and an attention MLP reports 99.78% accuracy on the Symptom2disease benchmark.