This research introduces a multi-layered framework leveraging large language models to analyze social media and telehealth data for accurate disease prediction and symptom assessment.

• Combines LLAMA3, GPT-3.5 Turbo, and BERT to process complex medical text data
• Extracts valuable diagnostic insights from patient-generated content on social platforms
• Enables remote symptom severity assessment and preliminary disease classification
• Demonstrates how AI can transform unstructured medical conversations into actionable healthcare insights

This advancement significantly impacts telehealth by providing automated disease prediction tools that can analyze the vast repositories of online health discussions, potentially improving early diagnosis and treatment planning.

A Multi-Layered Large Language Model Framework for Disease Prediction