hrp0089fc4.5 | GH & IGFs | ESPE2018

Prediction of Adult Height by Artificial Intelligence (AI) through Machine Learning (ML) from Early Height Data

Shmoish Michael , German Alina , Devir Nurit , Hecht Anna , Butler Gary , Niklasson Aimon , Albertsson-Wikland Kerstin , Hochberg Ze'ev

Context: Growth analyses have traditionally been done by either non-structural descriptive statistics or by fitting models. While we usually describe height and weight separately, we assume reciprocity of weight and height on each other. We utilize ML to predict ages 7–18 y height based on height and weight data up to age 6y.Methods: After pre-processing the height and weight, primary and secondary features (height SDS, BMI, growth velocity) of 1596...