Qing Wu, Jongyun Jung (both Public Health), and Mira V. Han (Life Sciences) recently published an article on “Machine Learning Approaches for Fracture Risk Assessment: A Comparative Analysis of Genomic and Phenotypic Data in 5130 Older Men” in the journal Calcified Tissue International. The study aims were to develop fracture prediction models by using machine learning approaches and genomic data, as well as to identify the best modeling approach for fracture prediction. Jung is a doctoral student.
