Cargando…
Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation
A central problem in biomechanical studies of personalized human left ventricular modelling is estimating the material properties and biophysical parameters from in vivo clinical measurements in a timeframe that is suitable for use within a clinic. Understanding these properties can provide insight...
Autores principales: | Davies, Vinny, Noè, Umberto, Lazarus, Alan, Gao, Hao, Macdonald, Benn, Berry, Colin, Luo, Xiaoyu, Husmeier, Dirk |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856984/ https://www.ncbi.nlm.nih.gov/pubmed/31762497 http://dx.doi.org/10.1111/rssc.12374 |
Ejemplares similares
-
Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle
por: Borowska, Agnieszka, et al.
Publicado: (2022) -
Statistical inference in mechanistic models: time warping for improved gradient matching
por: Niu, Mu, et al.
Publicado: (2017) -
Gradient Matching Methods for Computational Inference in Mechanistic Models for Systems Biology: A Review and Comparative Analysis
por: Macdonald, Benn, et al.
Publicado: (2015) -
Changes and classification in myocardial contractile function in the left ventricle following acute myocardial infarction
por: Gao, Hao, et al.
Publicado: (2017) -
Approximate parameter inference in systems biology using gradient matching: a comparative evaluation
por: Macdonald, Benn, et al.
Publicado: (2016)