3 research outputs found
Classification results of coronary heart disease database by using the clonal selection method with receptor editing
The clonal selection principle is used to explain the
basic features of an adaptive immune response to a antigenic
stimulus. It established the idea that only those cells that
recognize the antigens are selected to proliferate and differentiate.
This paper explains a computational implementation of the
clonal selection principle that explicitly takes into account the affinity maturation of the immune response. The clonal selection algorithm by incorporating receptor editing method, RECSA, has been proposed by Gao. This paper tries to classify the medical database of Coronary Heart Disease databases and reports the computational results for 4 kinds of training datasets