Scalable Robust Kidney Exchange
نویسندگان
چکیده
منابع مشابه
Robust dynamic optimization with application to kidney exchange
Kidney exchange provides a life-saving alternative to long waiting lists for patients in need of a new kidney. We derive a variety of mathematical models for the kidney exchange optimization problem, where the general goal is to maximize some form of social welfare vis-à-vis transplanting kidneys. We explore the implications of making the optimization problem dynamic (considering the future evo...
متن کاملKidney Exchange
Most transplanted kidneys are from cadavers, but there are also substantial numbers of transplants from live donors. Recently, there have started to be kidney exchanges involving two donor-patient pairs such that each donor cannot give a kidney to the intended recipient because of immunological incompatibility, but each patient can receive a kidney from the other donor. Exchanges are also made ...
متن کاملIntelligent scalable image watermarking robust against progressive DWT-based compression using genetic algorithms
Image watermarking refers to the process of embedding an authentication message, called watermark, into the host image to uniquely identify the ownership. In this paper a novel, intelligent, scalable, robust wavelet-based watermarking approach is proposed. The proposed approach employs a genetic algorithm to find nearly optimal positions to insert watermark. The embedding positions coded as chr...
متن کاملPairwise kidney exchange
In connection with an earlier paper on the exchange of live donor kidneys (Roth, Sönmez, and Ünver 2004) the authors entered into discussions with New England transplant surgeons and their colleagues in the transplant community, aimed at implementing a Kidney Exchange program. In the course of those discussions it became clear that a likely rst step will be to implement pairwise exchanges, bet...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2019
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v33i01.33011077