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Journals / International Journal of Intelligent Systems and Applications in Engineering / 2015 / Cilt: 3 - Sayı: 1

Diagnosis of Anemia in Children via Artificial Neural Network

ESRA KAYA AYANA
MEHMET EMİN AKTAN
Ahmet Taha KORU
ERHAN AKDOĞAN
Pages
24–27
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this paper, it is shown that anemia diagnosis can be made via neural network methods.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, a neural network algorithm, which diagnosis of anemia for children under 18 years of age, is presented.
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Key Findings & Data:The network is trained by using data from hemogram test results from 30 patients and an expert doctor.
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Conclusion & Impact:In this paper, it is shown that anemia diagnosis can be made via neural network methods.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

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.

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Cite This Article

AYANA, E. K., AKTAN, M. E., KORU, A. T., AKDOĞAN, E. (2015). Diagnosis of Anemia in Children via Artificial Neural Network. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 3 - Sayı: 1, 24–27. https://ajindex.com/articles/197359

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