A Prediction Model for Osteoporosis Risk Using a Machine-Learning Approach and Its Validation in a Large Cohort.

Published in: Journal of Korean medical science (2023)

The prediction model for osteoporosis risk generated by XGBoost can be applied to estimate osteoporosis risk. The biomarkers can be considered for enhancing the prevention, detection, and early therapy of osteoporosis risk in Asians.

Keyphrases

postmenopausal women
bone mineral density
machine learning
deep learning
body composition
big data
quantum dots
real time pcr
replacement therapy