EMPIRICAL MODELS FOR LONGITUDINAL POST-NATAL GROWTH

Machine learning models for child growth trajectories

To describe variability in longitudinal growth trajectories.

OUTCOMES

Height/length, weight, head circumference

Predictors (other than time)

Maternal parity, duration of breast feeding, gestational age at birth, maternal age, maternal height, maternal weight, maternal BMI, mothers education (years), father's education (years), child's sex, child's Apgar scores (1 and 5 minutes),

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