کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
480319 1446070 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-objective evolutionary algorithm for donor–recipient decision system in liver transplants
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Multi-objective evolutionary algorithm for donor–recipient decision system in liver transplants
چکیده انگلیسی

This paper reports on a decision support system for assigning a liver from a donor to a recipient on a waiting-list that maximises the probability of belonging to the survival graft class after a year of transplant and/or minimises the probability of belonging to the non-survival graft class in a two objective framework. This is done with two models of neural networks for classification obtained from the Pareto front built by a multi-objective evolutionary algorithm – called MPENSGA2. This type of neural network is a new model of the generalised radial basis functions for obtaining optimal values in C (Correctly Classified Rate) and MS (Minimum Sensitivity) in the classifier, and is compared to other competitive classifiers. The decision support system has been proposed using, as simply as possible, those models which lead to making the correct decision about receptor choice based on efficient and impartial criteria.


► Liver transplants in 11 Spanish hospitals.
► System of donor–recipient allocation.
► Using generalised radial basis function neural networks to determine the probability of survival o not-survival.
► Rule-based system to determine the best matching donor–recipient.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 222, Issue 2, 16 October 2012, Pages 317–327
نویسندگان
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