EN
Retrospective Examination of Risk Factors Affecting Iron Deficiency Anemia Using Machine Learning Methods
Abstract
Iron deficiency anemia is one of the most common types of anemia worldwide. In recent years, new developments in the field of medicine have offered early diagnosis and treatment opportunities for anemia patients. In the field of data science, in parallel with the developments in medicine, significant developments are taking place in subjects such as data collection, storage, processing, and reporting. Interdisciplinary joint studies positively contribute to patients’ quality of life and lifespan. In this study, the accuracy of the statistical results was tested with Machine Learning Method (MLM) while investigating the factors that affect the correct prediction of Iron Deficiency Anemia (IDA) diagnosis. In the first stage, the relationships between all variables in the data set and their effects on the differentiation of disease groups were investigated using univariate and multivariate statistical methods. In the second step, the data set was analyzed in detail using four different methods with Artificial Neural Network (ANN) classifier. Weka 3.8 application was preferred for these operations. In the last stage, the results obtained in both stages were compared. Accordingly, it has been observed that hemoglobin (Hb), mean cell volume (MCV), iron (Fe), and ferritin (FERR) have more effects on IDA. ANN (98.06%) is a better discriminator with a correct classification rate
Keywords
References
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Details
Primary Language
English
Subjects
Risk Analysis
Journal Section
Research Article
Publication Date
June 30, 2024
Submission Date
July 13, 2023
Acceptance Date
June 22, 2024
Published in Issue
Year 2024 Volume: 45 Number: 2
APA
Terzi, E., Sarıbacak, B., & Ateş, M. Ş. (2024). Retrospective Examination of Risk Factors Affecting Iron Deficiency Anemia Using Machine Learning Methods. Cumhuriyet Science Journal, 45(2), 444-448. https://doi.org/10.17776/csj.1326496
AMA
1.Terzi E, Sarıbacak B, Ateş MŞ. Retrospective Examination of Risk Factors Affecting Iron Deficiency Anemia Using Machine Learning Methods. CSJ. 2024;45(2):444-448. doi:10.17776/csj.1326496
Chicago
Terzi, Erol, Bünyamin Sarıbacak, and Mehmet Şirin Ateş. 2024. “Retrospective Examination of Risk Factors Affecting Iron Deficiency Anemia Using Machine Learning Methods”. Cumhuriyet Science Journal 45 (2): 444-48. https://doi.org/10.17776/csj.1326496.
EndNote
Terzi E, Sarıbacak B, Ateş MŞ (June 1, 2024) Retrospective Examination of Risk Factors Affecting Iron Deficiency Anemia Using Machine Learning Methods. Cumhuriyet Science Journal 45 2 444–448.
IEEE
[1]E. Terzi, B. Sarıbacak, and M. Ş. Ateş, “Retrospective Examination of Risk Factors Affecting Iron Deficiency Anemia Using Machine Learning Methods”, CSJ, vol. 45, no. 2, pp. 444–448, June 2024, doi: 10.17776/csj.1326496.
ISNAD
Terzi, Erol - Sarıbacak, Bünyamin - Ateş, Mehmet Şirin. “Retrospective Examination of Risk Factors Affecting Iron Deficiency Anemia Using Machine Learning Methods”. Cumhuriyet Science Journal 45/2 (June 1, 2024): 444-448. https://doi.org/10.17776/csj.1326496.
JAMA
1.Terzi E, Sarıbacak B, Ateş MŞ. Retrospective Examination of Risk Factors Affecting Iron Deficiency Anemia Using Machine Learning Methods. CSJ. 2024;45:444–448.
MLA
Terzi, Erol, et al. “Retrospective Examination of Risk Factors Affecting Iron Deficiency Anemia Using Machine Learning Methods”. Cumhuriyet Science Journal, vol. 45, no. 2, June 2024, pp. 444-8, doi:10.17776/csj.1326496.
Vancouver
1.Erol Terzi, Bünyamin Sarıbacak, Mehmet Şirin Ateş. Retrospective Examination of Risk Factors Affecting Iron Deficiency Anemia Using Machine Learning Methods. CSJ. 2024 Jun. 1;45(2):444-8. doi:10.17776/csj.1326496