Diagnosis of Anemia in Children via Artificial Neural Network

In this paper, a neural network algorithm, which diagnosis of anemia for children under 18  years of  age,  is  presented.  The network is  trained  by  using data  from hemogram test  results  from 30 patients and an expert doctor. The network has 5 inputs (HGB, HCT, MCV, MCH, MCHC) and an output. Simulations on 20 different patients show that the artificial neural network detects disease with high accuracy. In this paper, it is shown that anemia diagnosis can be made via neural network methods.