Optimizing machine learning models for predicting anemia among under-five children in Ethiopia: insights from Ethiopian demographic and health survey data

Abstract Background Healthcare practitioners require a robust predictive system to accurately diagnose diseases, especially in young children with conditions such as anemia. Delays in diagnosis and treatment can have severe consequences, potentially leading to serious complications and childhood mor...

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Váldodahkkit:	Ali Yimer, Hassen Ahmed Yesuf, Sada Ahmed, Alemu Birara Zemariam, Endris Mussa, Nurye Sirage, Adem Yesuf, Abdulaziz Kebede Kassaw
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	BMC 2025-04-01
Ráidu:	BMC Pediatrics
Fáttát:	Anemia Machine learning Random forest Prediction Under-five children
Liŋkkat:	https://doi.org/10.1186/s12887-025-05659-9
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