Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology
The understanding of complex physical or biological systems nearly always requires a characterization of the variability that underpins these processes. In addition, the data used to calibrate these models may also often exhibit considerable variability. A recent approach to deal with these issues h...
Главные авторы: | Lawson, BAJ, Drovandi, CC, Cusimano, N, Burrage, P, Rodriguez, B, Burrage, K |
---|---|
Формат: | Journal article |
Язык: | English |
Опубликовано: |
American Association for the Advancement of Science
2018
|
Схожие документы
-
Perlin noise generation of physiologically realistic cardiac fibrosis
по: Lawson, BAJ, и др.
Опубликовано: (2024) -
Slow recovery of excitability increases ventricular fibrillation risk as identified by emulation
по: Lawson, B, и др.
Опубликовано: (2018) -
On the Order of the Fractional Laplacian in Determining the Spatio-Temporal Evolution of a Space-Fractional Model of Cardiac Electrophysiology.
по: Nicole Cusimano, и др.
Опубликовано: (2015-01-01) -
Slow Recovery of Excitability Increases Ventricular Fibrillation Risk as Identified by Emulation
по: Brodie A. Lawson, и др.
Опубликовано: (2018-08-01) -
Rabbit-specific computational modelling of ventricular cell electrophysiology: Using populations of models to explore variability in the response to ischemia.
по: Gemmell, P, и др.
Опубликовано: (2016)