hrp0084p2-421 | GH & IGF | ESPE2015
Smyczynska Joanna
, Smyczynska Urszula
, Stawerska Renata
, Lewinski Andrzej
, Tadeusiewicz Ryszard
, Hilczer Maciej
Background: Prediction of the effectiveness of GH therapy in children with short stature is an important issue. Artificial neural networks (ANN) seem to be promising tool for this purpose, not requiring any assumption on functions linking independent and dependent variables.Objective and hypotheses: The aim of the study was to compare ANN models of GH therapy effectiveness, based on the data available at therapy onset with multiple linear regression (MLR...