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

Key Points

• This study aims to develop an AI-based system to enhance the detection of drug-allergy interactions using machine learning.
• Developed a web-based system using React, Python/Flask, and PostgreSQL.
• Implemented machine learning algorithms, including Random Forest and Decision Tree, for drug-allergy detection.
• Managed patient allergy profiles to deliver severity-classified alerts to healthcare providers.
• The system provides real-time alerts for potential drug-allergy interactions.
• Demonstrates a significant reduction in medication errors due to improved detection capabilities.