Research progress on the application of big data analysis in osteoporosis
JIANG Huang-ling
SUI Fu-hui
WANG Jia-min
SU Xiao-qiang
ZHAO Jing
Abstract：Osteoporosis (OP) is a systemic skeletal disease. Its incidence gradually increases with age. Osteoporotic fracture, a severe complication of OP, is one of the leading causes of mortality and disability among the elderly. As population aging intensifies, OP has become a significant challenge in the field of public health in China. In recent years, big data analysis has been deeply integrated with the medical field and has been widely applied in the diagnosis, treatment, and management of chronic diseases. By using the massive data in the OP databases, big data analysis shows its high applicability in OP epidemiological research, early disease screening, auxiliary clinical diagnosis and decision-making, risk prediction, real-time monitoring and management by the advantage of its ability to sensitively capture the potential rules and connections among the data. This review summarizes the application of big data analysis in OP both domestically and internationally, with the aim of providing references and insights for the diagnosis, treatment, and management of OP.
Keywords：Big dataData analysisOsteoporosisOsteoporotic fracturesReview
Publication Date：2025-03-19
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 268-275 )