Prevalence of malnutrition and associated factors in Chinese children and adolescents aged 3-14 years using machine learning algorithms.

With the increase in cumulating number of top factors, AUROC, accuracy, and prevision exhibited an increasing trend, from 0.891 (only age) to 0.924 (all top 15 important factors).

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