Feb. 6, 2024, 5:48 a.m. | Haleema Sheraz Stefan C. Kremer Joshua August Skorburg Graham Taylor Walter Sinnott-Armstrong Kyle Boerstler

cs.LG updates on arXiv.org arxiv.org

In response to the pressing challenge of kidney allocation, characterized by growing demands for organs, this research sets out to develop a data-driven solution to this problem, which also incorporates stakeholder values. The primary objective of this study is to create a method for learning both individual and group-level preferences pertaining to kidney allocations. Drawing upon data from the 'Pairwise Kidney Patient Online Survey.' Leveraging two distinct datasets and evaluating across three levels - Individual, Group and Stability - we …

challenge cs.ai cs.lg data data-driven machine machine learning research solution stakeholder study values

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