Abstract
A novel artificial immune network based algorithm for the diagnosis of diabetes is presented. The algorithms implementation includes: (1) creating the initial immune antibody network; (2) the network is evolved with the learning from foreign antigens; (3) diagnosis process is accomplished by majority vote of the k nearest neighbor antibodies.
Keywords: Diabetes disease, artificial immune network, medical diagnosis