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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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
ABV-press
2025-03-01
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| Series: | Онкогематология |
| Subjects: | |
| Online Access: | https://oncohematology.abvpress.ru/ongm/article/view/1017 |
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