Application of machine learning on health examination data for predicting the decrease of bone mineral density

Abstract

Herein, we created five machine learning algorithms to precisely predict bone density reduction. The RF model had superior performance in both male and female cohorts, attaining the highest AUROC. Implementing machine learning models in clinical implementation can improve the prevention, identification, and early intervention of bone density deterioration.

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