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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Bibliografiset tiedot

Päätekijät:	Ali Yimer, Hassen Ahmed Yesuf, Sada Ahmed, Alemu Birara Zemariam, Endris Mussa, Nurye Sirage, Adem Yesuf, Abdulaziz Kebede Kassaw
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	BMC 2025-04-01
Sarja:	BMC Pediatrics
Aiheet:	Anemia Machine learning Random forest Prediction Under-five children
Linkit:	https://doi.org/10.1186/s12887-025-05659-9
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