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Machine learning approach for differentiating iron deficiency anemia and thalassemia using random forest and gradient boosting algorithms

Abstract Formulas based on red blood cell indices have been used to differentiate between iron deficiency anemia (IDA) and thalassemia (Thal). However, they exhibit varying efficiencies. In this study, we aimed to develop a tool for discriminating between IDA and Thal by using the random forest (RF)...

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Principais autores: Wanicha Tepakhan, Wisarut Srisintorn, Tipparat Penglong, Pirun Saelue
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-05-01
Serier:Scientific Reports
Fag:
Iron deficiency anemia
Thalassemia
Machine learning
Random forest
Gradient boosting
Online adgang:https://doi.org/10.1038/s41598-025-01458-5
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