Sayem Borhan

Abstract In this study, we developed ML algorithms to predict fragility fractures, considering the occurrence of fractures at different skeletal sites, using the data from the Canadian Multicentre Osteoporosis Study (CaMos) with participants aged 50 years or older. We considered 73 baseline features, and the outcome was the first incidence of fracture at any of the following sites: hip, spine, pelvis, ribs, shoulder, and forearm. The ML algorithms were evaluated in terms of the ROC_AUC.

Abstract Frailty is a complex trait that significantly increases the risk for negative health consequences, including hospitalization and disability. However, the evidence regarding the genetic basis of frailty phenotype (FP) is very limited. We conducted a genome-wide association study (GWAS) on FP using the data from the Canadian Longitudinal Study on Aging (CLSA).