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...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-03-01
|
| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076251331879 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!