Diagnosis of Anemia in Children via Artificial Neural Network
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2015, Vol 3, Issue 1
Abstract
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.
Authors and Affiliations
Esra KAYA| Yildiz Technical University, Faculty of Control – Automat. Eng. – Turkey, Mehmet Emin AKTAN*| Yildiz Technical University, Faculty of Mechanical Eng. – Turkey, Ahmet Taha KORU| Yildiz Technical University, Faculty of Mechanical Eng. – Turkey, Erhan AKDOĞAN| Yildiz Technical University, Faculty of Mechanical Eng. – Turkey
Keywords
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