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CatBoost for Personalized Medicine Recommendations by akshit modi is a document available to read on EtoBox.
What is CatBoost for Personalized Medicine Recommendations about?
The project developed a machine learning-based personalized medicine recommendation system using the CatBoost algorithm to predict appropriate medications from synthetic patient data. The model demonstrated strong performance with a Micro F1 Score of 0.851 and was integrated into a user-friendly web application for real-time predictions. This framework aims to enhance clinical decision-making by providing interpretable medication recommendations tailored to individual patient profiles.
- Author
- akshit modi
- Language
- EN