Development of a method for differential diagnosis of iron deficiency anemia and anemia of chronic disease based on demographic data and routine laboratory tests using machine learning technologies

Development of a method for differential diagnosis of iron deficiency anemia and anemia of chronic disease based on demographic data and routine laboratory tests using machine learning technologies

Background. The study of machine learning methods, a branch of artificial intelligence science, is relevant for the development of optimal screening strategies, identification of risk groups, and application of less expensive and more accessible laboratory tests to assess the body iron status.   Aim...

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Bibliographic Details
Main Authors: N. V. Varekha, N. I. Stuklov, K. V. Gordienko, R. R. Gimadiev, O. B. Shchegolev, S. N. Kislaya, E. V. Gubina, A. A. Gurkina
Format: Article
Language:Russian
Published: ABV-press 2025-03-01
Series:Онкогематология
Subjects:
iron deficiency
iron‑deficiency anemia
anemia of chronic diseases
artificial intelligence
machine learning
ferritin
c‑reactive protein
Online Access:https://oncohematology.abvpress.ru/ongm/article/view/1017
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