A predictive model for osteoporosis in frail elderly patients with cerebral infarction: an integrated analysis based on machine learning and care-sensitive indicators
A risk prediction model constructed using five common risk factors for osteoporosis development in frail elderly patients with cerebral infarction include age, TFI score, GNRI, Barthel Index, and SAS score demonstrates predictive value, high calibration accuracy, and clinical utility.
Yi Liu, Jing Wen, Yan-Xia Chen et al.
· Frontiers in Endocrinology · 0 citations