UncertainSCI

Model and Parametric Uncertainty

UncertainSCI is a Python-based toolkit that harnesses modern techniques to estimate model and parametric uncertainty.

Overview

Documentation

Support

Acknowledgements

UncertainSCI

UncertainSCI is a Python-based toolkit that harnesses modern techniques to estimate model and parametric uncertainty, with a particular emphasis on needs for biomedical simulations and applications. This toolkit enables non-intrusive integration of these techniques with well-established biomedical simulation software.

UncertainSCI documentation
UncertainSCI source code

Introduction to UncertainSCI

Applications

Background Math

Cardiac Bioelectricity

Brain Neuromodulation

Support

UncertainSCI support page
Discussions

Acknowledgements

Please include the following acknowledgement in work using this software:
"This work was supported by the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under grant number U24EB029012”