[HTML][HTML] Global, regional, national trends of femur fracture and machine learning prediction: Comprehensive findings and questions from global burden of disease …

J Wu, Y Che, Y Zhang, J Wang, M Chen, J Jiang… - Journal of orthopaedic …, 2024 - Elsevier
Background Femur fracture is a type of fracture with high disability and mortality. There is no
comprehensive analysis and prediction of the global distribution of femur fractures, so we …

Low bone mineral density, a neglected condition in North Africa and Middle East: estimates from the global burden of disease study, 1990–2019

MM Rashidi, S Saeedi Moghaddam… - Osteoporosis …, 2023 - Springer
Due to the high prevalence of low bone mineral density in North Africa and Middle East
region, estimating its attributable burden would help to a better understanding of this …

A diagnostic approach integrated multimodal radiomics with machine learning models based on lumbar spine CT and X-ray for osteoporosis

L Cheng, F Cai, M Xu, P Liu, J Liao, S Zong - Journal of Bone and Mineral …, 2023 - Springer
Introduction The aim of this analysis is to construct a combined model that integrates
radiomics, clinical risk factors, and machine learning algorithms to diagnose osteoporosis in …

基于决策树模型的强骨胶囊治疗原发性骨质疏松症的药物经济学研究

崔鑫, 韩晟, 李薇, 孙春全, 陈明, 石丰豪, 谢雁鸣… - 中国药事, 2023 - zgys.cnjournals.org
目的: 评价强骨胶囊(QC) 治疗原发性骨质疏松症(POP) 的经济性, 以期为卫生医疗用药资源的
合理配置提供参考依据. 方法: 采用Treeage Pro 软件对QC vs 阿法骨化醇胶囊(AC) 干预POP …