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)...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Wanicha Tepakhan, Wisarut Srisintorn, Tipparat Penglong, Pirun Saelue
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Nature Portfolio 2025-05-01
Serie:	Scientific Reports
Ämnen:	Iron deficiency anemia Thalassemia Machine learning Random forest Gradient boosting
Länkar:	https://doi.org/10.1038/s41598-025-01458-5
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!