Crossmatch prediction of highly sensitized patients.

Abstract

1. A subset of negative reactions of sera from highly sensitized patients to donor lymphocytes are predicted with high accuracy (96.5% negative correct). 2. The prediction is performed by a hybrid expert system (HES) which uses multiple knowledge of stochastic (SCORES), artificial neural net (ANN), and genetic algorithm (GA) techniques. 3. All knowledge for… (More)

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