Development and validation of a machine learning–based model for diagnosing perioperative malnutrition in older adults with hip fracture (opens in new tab)

BackgroundThe prevalence of malnutrition is significant among older adults with hip fractures, while existing screening tools face challenges such as complex procedures and a limited ability to objectively classify malnutrition status. This study aimed to develop and test a machine learning–based diagnostic model for identifying malnutrition guided by the Global Leadership Initiative on Malnutrition (GLIM) criteria.MethodsA cross-sectional study was conducted, enrolling patients from four ter...