Construction and evaluation of a height prediction model for children with growth disorders treated with recombinant human growth hormone

Construction and evaluation of a height prediction model for children with growth disorders treated with recombinant human growth hormone

Abstract Background Height gain in children with growth disorders undergoing recombinant human growth hormone (rhGH) therapy shows considerable variability. Predicting treatment outcomes is essential for optimizing individualized treatment strategies. Objective To develop and evaluate a predictive m...

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Bibliographic Details
Main Authors: Feng Zhu, Anle Wu, Lingling Chen, Ya Xia, Xiaoju Luo, Jieqian Zhu, Lina Huang, Yu Zhang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Endocrine Disorders
Subjects:
Recombinant human growth hormone
Growth disorders
Short-term response
Predictive model
Machine learning
Online Access:https://doi.org/10.1186/s12902-025-01991-4
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https://doi.org/10.1186/s12902-025-01991-4

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