A Hybrid Model Based on Artificial Neural Networks and Genetic Algorithms for Anemia Prediction

Sahar Mohammed; Arshed Ahmad; Mohammed Mohammed; Lubna Gafaar Hussein

doi:10.35377/saucis...1691008

A Hybrid Model Based on Artificial Neural Networks and Genetic Algorithms for Anemia Prediction

Abstract

A new model based on the combination of artificial neural networks and genetic algorithm for anemia prediction problems is presented. The goal of the algorithm to estimate anemia types by using data collected from laboratories based on blood variables for 560 subjects. ANN is used to classify the types of anemia and then use the GA to enhance the performance of the ANN to increase the classification accuracy. This process is carried out by enhancing the weights of neurons for the ANN to be more suitable for recognizing anemia types. The results confirm that the performance of the combined algorithm with a hidden layer is the most appropriate architecture among the networks with a different number of hidden layers. Results showed that the hybrid algorithm provides a highly precise result for the classification of anemia types, where the algorithm has an accuracy of 95.1% and the baseline algorithm has an accuracy of 91.8%, then the proposed algorithm may be considered to be clinically significant. Those results confirm that predicting anemia types is of great importance in health-related education and applications. Based on the biophysical factors, this study is provided a better understanding of the importance of predicting anemia.

Keywords

Ethical Statement

This article was written in accordance with ethical standards in research and publication. All sources have been appropriately cited, and the data presented is accurate. No conflicts of interest have been identified, and informed consent was obtained from any participants involved

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Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Sahar Mohammed
0000-0001-8946-1070
Iraq

Arshed Ahmad
0000-0003-1393-1253
Iraq

Mohammed Mohammed ^*
0000-0001-5446-2620
Iraq

Lubna Gafaar Hussein
Iraq

Early Pub Date

May 11, 2026

Publication Date

June 17, 2026

Submission Date

May 5, 2025

Acceptance Date

January 1, 2026

Published in Issue

Year 2026 Volume: 9 Number: 2

DOI

https://doi.org/10.35377/saucis...1691008

IZ

https://izlik.org/JA89BE26RF

Cite

RIS / Bibtex

APA

Mohammed, S., Ahmad, A., Mohammed, M., & Hussein, L. G. (2026). A Hybrid Model Based on Artificial Neural Networks and Genetic Algorithms for Anemia Prediction. Sakarya University Journal of Computer and Information Sciences, 9(2), 325-335. https://doi.org/10.35377/saucis...1691008

AMA

1.Mohammed S, Ahmad A, Mohammed M, Hussein LG. A Hybrid Model Based on Artificial Neural Networks and Genetic Algorithms for Anemia Prediction. SAUCIS. 2026;9(2):325-335. doi:10.35377/saucis.1691008

Chicago

Mohammed, Sahar, Arshed Ahmad, Mohammed Mohammed, and Lubna Gafaar Hussein. 2026. “A Hybrid Model Based on Artificial Neural Networks and Genetic Algorithms for Anemia Prediction”. Sakarya University Journal of Computer and Information Sciences 9 (2): 325-35. https://doi.org/10.35377/saucis. 1691008.

EndNote

Mohammed S, Ahmad A, Mohammed M, Hussein LG (June 1, 2026) A Hybrid Model Based on Artificial Neural Networks and Genetic Algorithms for Anemia Prediction. Sakarya University Journal of Computer and Information Sciences 9 2 325–335.

IEEE

[1]S. Mohammed, A. Ahmad, M. Mohammed, and L. G. Hussein, “A Hybrid Model Based on Artificial Neural Networks and Genetic Algorithms for Anemia Prediction”, SAUCIS, vol. 9, no. 2, pp. 325–335, June 2026, doi: 10.35377/saucis...1691008.

ISNAD

Mohammed, Sahar - Ahmad, Arshed - Mohammed, Mohammed - Hussein, Lubna Gafaar. “A Hybrid Model Based on Artificial Neural Networks and Genetic Algorithms for Anemia Prediction”. Sakarya University Journal of Computer and Information Sciences 9/2 (June 1, 2026): 325-335. https://doi.org/10.35377/saucis. 1691008.

JAMA

1.Mohammed S, Ahmad A, Mohammed M, Hussein LG. A Hybrid Model Based on Artificial Neural Networks and Genetic Algorithms for Anemia Prediction. SAUCIS. 2026;9:325–335.

MLA

Mohammed, Sahar, et al. “A Hybrid Model Based on Artificial Neural Networks and Genetic Algorithms for Anemia Prediction”. Sakarya University Journal of Computer and Information Sciences, vol. 9, no. 2, June 2026, pp. 325-3, doi:10.35377/saucis. 1691008.

Vancouver

1.Sahar Mohammed, Arshed Ahmad, Mohammed Mohammed, Lubna Gafaar Hussein. A Hybrid Model Based on Artificial Neural Networks and Genetic Algorithms for Anemia Prediction. SAUCIS. 2026 Jun. 1;9(2):325-3. doi:10.35377/saucis. 1691008