A data-driven framework for fair and efficient organ transplantation using gradient boosting and adaptive genetic allocation - PubMed
pubmed.ncbi.nlm.nih.gov
This study proposes a comprehensive data-driven framework aimed at enhancing organ transplantation efficiency through optimized risk assessment, donor-recipient matching, and equitable organ allocation. Utilizing the gradient boosting algorithm (GBA) for risk prioritization, A* search for optimal do …
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The original was posted on /r/science by /u/Fit_Ad3058 on 2025-06-09 08:52:56+00:00.

Original Title: A data-driven organ transplant framework reached 96% accuracy and a fairness index of 0.92, showing promise in optimizing donor-recipient matching, reducing waiting times, and improving patient outcomes.