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Predicting body mass index in early childhood using data from the first 1000 days

Abstract Few existing efforts to predict childhood obesity have included risk factors across the prenatal and early infancy periods, despite evidence that the first 1000 days is critical for obesity prevention. In this study, we employed machine learning techniques to understand the influence of fac...

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Autors principals: Erika R. Cheng, Ahmet Yahya Cengiz, Zina Ben Miled
Format: Artigo
Idioma:Inglês
Publicat: Nature Portfolio 2023-05-01
Col·lecció:Scientific Reports
Accés en línia:https://doi.org/10.1038/s41598-023-35935-6
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