A Machine Learning Study to Classify the Type of Anemia in Children Under 5 Years of Age
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-31007-2_46
Reference26 articles.
1. da Silva, L.L.S., Fawzi, W.W., Cardoso, M.A.: Factors associated with anemia in young children in Brazil. PLoS ONE 13, e0204504 (2018). https://doi.org/10.1371/journal.pone.0204504
2. Zegarra-Valdivia, J.A., Viza Vásquez, B.M.: Hemoglobin and anemia levels in children: implications for the development of executive functions. Rev. Ecuatoriana Neurol. 29, 53–61 (2020)
3. Ramírez, J.E.P., et al.: Prevalencia de anemia en la parroquia San Miguel. Cienc. Lat. Rev. Científica Multidiscip. 5, 8814–8821 (2021)
4. Silva, D.L.F., et al.: Individual and contextual predictors of children’s hemoglobin levels from Southern Brazilian municipalities in social vulnerability. Cad. Saude Publica. 36, (2021)
5. Aparco, J.P., Bullón, L., Cusirramos, S.: Impact of micronutrient powder on anemia in children aged 10–35 months in Apurimac, Peru. Rev. Peru. Med. Exp. Salud Publica. 36, 17–25 (2019)
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