Predicting Polypharmacy Side Effects with Graph-based Machine Learning
The SEPIA (Side Effect Prediction using Interaction Analysis) project aims to predict potential side effects of polypharmacy through the development of a graph-based machine learning model. By leveraging advanced data analytics techniques, we hope to provide valuable insights for healthcare professionals and patients alike, ultimately improving medication management and patient safety.