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Machine Learning for Disease Prediction by Said Darya Al Afghani is a document available to read on EtoBox.

What is Machine Learning for Disease Prediction about?

This study presents a Machine Learning-Based Medicine Recommendation System (MRS) that utilizes various algorithms, including Random Forest, Support Vector Classifier, and Gradient Boosting, to recommend drugs based on disease prediction using patient data. The research evaluates the performance of these models in terms of accuracy, precision, recall, and F1 score, highlighting the potential of machine learning to enhance personalized healthcare. The paper emphasizes the challenges of selecting the best alg

Author

Said Darya Al Afghani

Language

EN