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Anemia diagnosis by fuzzy logic using LabVIEW
Mahammad Firose Shaik,
Published in IEEE
Volume: 2018-January
Pages: 1 - 5
Anemia is the most common hematological disorder affecting about one-fourth of the global population. Anemia can be defined as a decrease in the amount of hemoglobin in blood or lowered ability of the blood to carry oxygen. It goes unidentified in many people and sometimes symptoms may be undefined. Diagnosing anemia or being aware of the high probability of its occurrence is not an easy task to do. In this paper, we present a fuzzy logic for diagnosing the anemia and implementing the simulation through LabVIEW software. Using the proposed software and based on nine input blood parameters we conclude the existence of anemia and its types (we approached six most common types). And also with this software method of approach, we can employ more diagnosing types of anemia by developing more rules. The advantage of the software is fast evaluation of disease compared to manual analysis. © 2017 IEEE.
About the journal
JournalData powered by Typeset2017 International Conference on Intelligent Computing and Control (I2C2)
PublisherData powered by TypesetIEEE
Open AccessNo