大数据分析在骨质疏松症中的应用研究进展
蒋黄玲1
隋馥卉2
王嘉敏3
苏小强4
赵静2
1.712000 咸阳,陕西中医药大学;710016 陕西省,西安市中医医院护理部2.710016 陕西省,西安市中医医院护理部3.712000 咸阳,陕西中医药大学4.710016 陕西省,西安市中医医院骨伤科脊柱病区
摘要：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.
关键词：大数据数据分析骨质疏松骨质疏松性骨折综述
分类号：R681(骨科学（运动系疾病、矫形外科学）)
资助基金：陕西省重点研发计划项目(2022SF-112)西安市中医医院院级科研课题(2024YJ40)
论文发表日期：2025-03-19
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 268-275 )
英文信息