Modeling Kidney Allocation: A Data-Driven Optimization Approach
Bar Ilan Business School
October 10, 2011
STATISTICAL METHODS IN HEALTHCARE, F. Faltin, R. Kenett & F. Ruggeri, eds., Wiley, 2011
In the United States, more than 90,000 candidates are currently waiting for kidney transplantation, with an annual increase of about 20,000 candidates. The current allocation policy poorly matches donors with recipients. We present a two-phase allocation policy that combines an integer programming-based learning phase and a data-mining, real-time phase. Our policy outperforms the current system in multiple respects, such as increased life-year gained from kidney allocation and lower better match between organs and recipients.
Number of Pages in PDF File: 14
Keywords: kidney Allocation, optimization, KAS, Stochastic OptimizationAccepted Paper Series
Date posted: October 10, 2011
© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo7 in 0.328 seconds