Explainable predictive models of short stature and exploration of related environmental growth factors: a case-control study

Explainable predictive models of short stature and exploration of related environmental growth factors: a case-control study

Abstract Background Short stature is a prevalent pediatric endocrine disorder for which early detection and prediction are pivotal for improving treatment outcomes. However, existing diagnostic criteria often lack the necessary sensitivity and specificity because of the complex etiology of the disor...

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Bibliographic Details
Main Authors: Jiani Liu, Xin Zhang, Wei Li, Francis Manyori Bigambo, Dandan Wang, Xu Wang, Beibei Teng
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Endocrine Disorders
Subjects:
Short stature
Machine learning
Predictive model
Growth environment
SHAP
Online Access:https://doi.org/10.1186/s12902-025-01936-x
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https://doi.org/10.1186/s12902-025-01936-x

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