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
Related Articles
- EP ID EP764
- DOI -
- Views 422
- Downloads 23
Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP
One of the recommended preventive plans against the wide area disturbances is WAP, Wide Area Protection, through controlled system splitting or separation. In this paper, authors are proposing three simple algorithms tha...
A fuzzy approach for determination of prostate cancer
Goal of this study is a design of a fuzzy expert system, its application aspects in the medicine area and its introduction for calculation of numeric value of prostate cancer risk. For this aim it was used prostate speci...
An Artificial Neural Network Model for Wastewater Treatment Plant of Konya
In this study, modelling of Konya wastewater treatment plant was studied by using artificial neural network with different architectures in Matlab software. All data were obtained from wastewater treatment plant of Konya...
A Mitigation Technique for Inrush Currents in Load Transformers for the Series Voltage Sag Compensator
In many countries, high-tech manufacturers concentrate in industry parks. Survey results suggest that 92% of interruption at industrial facilities is voltage sag related. An inrush mitigation technique is proposed and im...
Rainfall Runoff Modelling Using Generalized Neural Network and Radial Basis Network
Rainfall runoff study has a wide scope in water resource management. To provide a reliable prediction model is of paramount importance. Runoff prediction is carried out using generalized regression neural network and rad...