Preventive machine learning models incorporating health checkup data and hair mineral analysis for low bone mass identification

Abstract Machine learning (ML) models have been increasingly employed to predict osteoporosis. However, the incorporation of hair minerals into ML models remains unexplored. This study aimed to develop ML models for predicting low bone mass (LBM) using health checkup data and hair mineral analysis....

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Su Jeong Kang, Joung Ouk (Ryan) Kim, Moon Jong Kim, Yang-Im Hur, Ji-Hee Haam, Kunhee Han, Young-Sang Kim
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-08-01
Subjects:	Machine learning Extreme gradient boosting Hair mineral analysis Bone mineral density
Online Access:	https://doi.org/10.1038/s41598-024-69090-3