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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Váldodahkkit:	Wanicha Tepakhan, Wisarut Srisintorn, Tipparat Penglong, Pirun Saelue
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Nature Portfolio 2025-05-01
Ráidu:	Scientific Reports
Fáttát:	Iron deficiency anemia Thalassemia Machine learning Random forest Gradient boosting
Liŋkkat:	https://doi.org/10.1038/s41598-025-01458-5
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