Cargando…
Uncertainty Evaluations for Risk Assessment in Impact Injuries and Implications for Clinical Practice
Injury risk curves (IRCs) represent the quantification of risk of adverse outcomes, such as a bone fracture, quantified by a biomechanical metric such as force or deflection. From a biomechanical perspective, they are crucial in crashworthiness studies to advance human safety. In clinical settings,...
Autores principales: | Banerjee, Anjishnu, Choi, Hoon, DeVogel, Nicholas, Xu, Yayun, Yoganandan, Narayan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426360/ https://www.ncbi.nlm.nih.gov/pubmed/32850734 http://dx.doi.org/10.3389/fbioe.2020.00877 |
Ejemplares similares
-
Age-Infusion Approach to Derive Injury Risk Curves for Dummies from Human Cadaver Tests
por: Yoganandan, Narayan, et al.
Publicado: (2015) -
Finite Element Study of a Lumbar Intervertebral Disc Nucleus Replacement Device
por: Coogan, Jessica S., et al.
Publicado: (2016) -
A Machine Learning Approach to Investigate the Uncertainty of Tissue-Level Injury Metrics for Cerebral Contusion
por: Menichetti, Andrea, et al.
Publicado: (2021) -
Kinematic Modeling at the Ant Scale: Propagation of Model Parameter Uncertainties
por: Arroyave-Tobon, Santiago, et al.
Publicado: (2022) -
Regional variations in C1–C2 bone density on quantitated computed tomography and clinical implications
por: Baisden, Jamie L, et al.
Publicado: (2023)