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EMPIRICAL MODELS FOR LONGITUDINAL POST-NATAL GROWTH
Machine learning models for child growth trajectories
To describe variability in longitudinal growth trajectories.
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),