Machine Learning for Discriminating Microcytic Hypochromic Anemia Based on Erythrocyte Parameters

We successfully developed a discriminant model using ML algorithms based on erythrocyte parameters to identify MHA rapidly from TT or IDA, which may assist patients in taking preventive measures.

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Publication Details

Journal
International Journal of Laboratory Hematology
Published
2025-07-01
DOI
https://doi.org/10.1111/ijlh.14524
Citations
1
Primary Topic
Hemoglobinopathies and Related Disorders
Type
article
Field-Weighted Citation Impact
1.63
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article

Machine Learning for Discriminating Microcytic Hypochromic Anemia Based on Erythrocyte Parameters

Jinmi Li, Qing Yu Huang, Xiaodong Ren, Shaoli Deng et al.
1 citations
International Journal of Laboratory Hematology
Hemoglobinopathies and Related Disorders
1.63
article

Machine Learning for Discriminating Microcytic Hypochromic Anemia Based on Erythrocyte Parameters

Jinmi Li, Qing Yu Huang, Xiaodong Ren, Shaoli Deng, Jing Lv
article en
1 citations

Abstract

We successfully developed a discriminant model using ML algorithms based on erythrocyte parameters to identify MHA rapidly from TT or IDA, which may assist patients in taking preventive measures.

International Journal of Laboratory HematologyVol. 47(6)
Army Medical University (CN), Daping Hospital (CN)
Reduced inequalities
Openalex Percentile: Top 16%
Hemoglobinopathies and Related Disorders
1.63
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