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drug-recommendation

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This project develops a drug recommendation system using sentiment analysis of reviews. It employs Collaborative Filtering, Novel ADBScan Clustering, and a Deep Learning approach of BiLSTM with GWO optimization. The goal is to provide personalized medication recommendations by analyzing patients' profiles. dataset is "UCI ML Drug Review dataset."

  • Updated Aug 13, 2023
  • Jupyter Notebook

The AI-Driven Medical Intelligence Hub is an intelligent healthcare system that uses ML, NLP, and LLMs to deliver fast and accurate disease predictions, drug recommendations, heart risk assessments, and real-time medical assistance through an AI chatbot. It enhances healthcare efficiency, accessibility, and decision-making with data-driven insights

  • Updated Jun 20, 2025
  • Jupyter Notebook

🏥 Assess and predict disease risk using AI, empowering healthcare decisions with clinical insights and personalized recommendations for multiple conditions.

  • Updated Apr 25, 2026
  • TypeScript

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