LEUKEMIA IN HUMAN BLOOD SAMPLE USING ARTIFICIAL NEURAL NETWORKS

Leukemia is one of the most common cancers in children, comprising more than a third of all childhood cancers. Newly affected patients in USA are estimated as 10100cases, and if these cases are diagnosed late or proper treatment is not applied, then it can be mortal. Because rapid and proper diagnosis of leukemia based on clinical or medicinal findings (without biopsy) is impossible, we decided to apply artificial neural network for rapid leukemia diagnosis.parameters of 131 patients were applied for training network with Levenberg-Marquardt learning algorithm, with learning rate of 0.1. Methods We carried out independent sample T-test wit