Identification and prediction of association patterns between nutrient intake and anemia using machine learning techniques: results from a cross-sectional study with university female students from Palestine.

Purpose: This study utilized data mining and machine learning (ML) techniques to identify new patterns and classifications of the associations between nutrient intake and anemia among university students. Methods: We employed K-means clustering analysis algorithm and Decision Tree (DT) technique to...

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Publicado en:	European Journal of Nutrition Vol. 63; no. 5; pp. 1635 - 1650
Autores principales:	Qasrawi, Radwan, Badrasawi, Manal, Al-Halawa, Diala Abu, Polo, Stephanny Vicuna, Khader, Rami Abu, Al-Taweel, Haneen, Alwafa, Reem Abu, Zahdeh, Rana, Hahn, Andreas, Schuchardt, Jan Philipp
Formato:	equations & formulas research tables/charts Journal Article
Publicado:	Springer Nature Aug2024
Acceso en línea:	Ver este registro en EBSCOhost