Global, regional, national trends of femur fracture and machine learning prediction: Comprehensive findings and questions from global burden of disease 1990–2019

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 conducted this study. Methods: Age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR),...

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Библиографические подробности

Главные авторы:	Jinyi Wu, Yanjun Che, Yue Zhang, Junwen Wang, Ming Chen, Jun Jiang, Qingwu Jiang, Yibiao Zhou
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2024-05-01
Серии:	Journal of Orthopaedic Translation
Предметы:	Femur fracture GBD Machine learning Prediction Visualization
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S2214031X24000263
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