Enhancing Organ Donation: Web-based System for Promoting Awareness with Machine Learning for Optimized Matching

Thisresearch work presents a web-based system designed to enhance organ donation by optimizing donor-recipient matching and raising public awareness. Motivated by the urgent need to improve transplant success rates amidst organ shortages, our work integrates machine learning to optimize the matching process. Multiple linear regression is utilized for pairing donors and recipients due to its capability to model the complex relationship between multiple attributes, such as blood type compatibility and age, thereby optimizing the matching process for organ transplantation. The system uses HTML, CSS, JavaScript, PHP, and SQL technologies to facilitate donor registration, matching algorithms, and hospital workflows. Results demonstrate improved efficiency in donor-recipient pairing, showcasing potential impact on transplant outcomes. Future work includes algorithm refinement, expanded outreach efforts, and implementation of robust privacy measures. This research contributes to the organ donation field by offering technological solutions to enhance transplant success rates and address organ shortage challenges.