An artificial immune network based algorithm for diabetes diagnosis.
A novel artificial immune network based algorithm for the diagnosis of diabetes is presented. The algorithm's 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.
College of Computer Science, Sichuan University, Chengdu 610065, People's Republic of China.
Lingxi
L
Peng
Tao
T
Li
Xiaojie
X
Liu
Caiming
C
Liu
Jinquan
J
Zeng
Jian
J
Zhang
D000465:Algorithms; D001185:Artificial Intelligence; D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D003920:Diabetes Mellitus / Q000175:diagnosis*; D006801:Humans; D012680:Sensitivity and Specificity