Height estimation in children and adolescents using body composition big data: Machine-learning and explainable artificial intelligence approach
Objective To develop an accurate and interpretable height estimation model for children and adolescents using body composition variables and explainable artificial intelligence approaches. Methods A light gradient boosting method was employed on a dataset of 278,301 measurements from 54,374 children...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-03-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076251331879 |
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