An AI-Based Clinical Decision Support System for Drug-Allergy Detection Using Machine Learning

Clinical Decision Support System (CDSS) for Drug-Allergy Detection A web-based system that uses machine learning (Random Forest & Decision Tree) to detect potential drug-allergy interactions in real time, helping healthcare providers prevent medication errors. Built with React, Python/Flask, and PostgreSQL, the system manages patient allergy profiles and provides severity-classified alerts to support safer clinical decisions. This work was conducted at Arab International University (AIU), Syria. The official website of the university is : https://www.aiu.edu.sy