dhruvsh1997 / Advance-DBScan_Clustering_4_DrugRecommedationSystem-Using-Deep-Learning---Collaborative_Filtering Public

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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."

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MapReduceClustering-DrugReccomendationSys-ADBScan.ipynb		MapReduceClustering-DrugReccomendationSys-ADBScan.ipynb
New_Data.csv		New_Data.csv
README.md		README.md

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Advance-DBScan_Clustering_4_DrugRecommedationSystem-Using-ReEnfourcement-Learning

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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."

collaborative-filtering dbscan bilstm reccomendersystem drug-recommendation advance-clustering gray-wolf-optimizer

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