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."
collaborative-filtering
dbscan
bilstm
reccomendersystem
drug-recommendation
advance-clustering
gray-wolf-optimizer
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Updated
Aug 13, 2023 - Jupyter Notebook