@article{jbet2017513,
author={{Latifi, Farzaneh and Zarrabi, Houman},
title={A Fuzzy-Genetic Approach for Microcytic Anemia Diagnosis in Cyber Medical Systems},
journal={Journal of Biomedical Engineering and Technology},
volume={5},
number={1},
pages={12--19},
year={2017},
url={http://pubs.sciepub.com/jbet/5/1/3},
issn={2373-1303},
abstract={Microcytic anemia is the most common type of anemia in the different age groups of people. Diagnosis in the early stages could increase the chance of the treatment. Fuzzy Expert System (FES) is one of the excellent methods employed for diagnosis of different diseases because of its tremendous potential in the management of uncertainty sources that exist in the real medical systems. In this article, a Genetic Algorithm (GA) has been used for optimizing the parameters of the Membership Function (MFs) of the proposed FES for diagnosis of microcytic anemia (IDA and BTT). The proposed hybrid system was implemented in Matlab and evaluated by real dataset from patients and healthy people. High accuracy of the proposed system confirms that this method can help physicians make more accurate decisions for the diagnosis of this type of anemia.},
doi={10.12691/jbet-5-1-3}
publisher={Science and Education Publishing}
}