IJCAI2021: Code for SafeDrug, MIMIC data processing, Medical code mapping
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Updated
Aug 1, 2023 - Python
IJCAI2021: Code for SafeDrug, MIMIC data processing, Medical code mapping
The "Medicine Recommendation System" is designed to provide suggestions for alternative or substitute medications based on a search query, with the primary goal of offering viable replacements for the specified medicine.
ICLR 2023 paper - ManyDG - Dataset processing and mode codes
Code of MICRON, MIMIC data processing, Residual Learning
Analyzing the Drugs Descriptions, conditions, reviews and then recommending the medicines for each Health Condition of a Patient.
Pick the best drug for patients with 100% accuracy using decision tree algorithm.
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."
An intelligent tool for recommending similar drugs based on user input using NLP and machine learning. Features a user-friendly Streamlit interface and efficient data handling with compressed `.joblib` files as models. Perfect for healthcare professionals seeking quick drug alternatives
Recommend the medicines for a particular disease based on patient reviews and ratings
Add a description, image, and links to the drug-recommendation topic page so that developers can more easily learn about it.
To associate your repository with the drug-recommendation topic, visit your repo's landing page and select "manage topics."