Osteoporotic hip fracture prediction from risk factors available in administrative claims data – A machine learning approach

摘要

Objective Hip fractures are among the most frequently occurring fragility fractures in older adults, associated with a loss of quality of life, high mortality, and high use of healthcare resources. The aim was to apply the superlearner method to predict osteoporotic hip fractures using administrative claims data and to compare its performance to established methods.