Work

Uncertainsci: Uncertainty Quantification for Computational Models in Biomedicine and Bioengineering

Year: 2022

Type: preprint

Source: SSRN Electronic Journal

DOI: 10.2139/ssrn.4049696

Authors: Akil Narayan, Zexin Liu, Jake A. Bergquist, Chantel Charlebois, Sumientra Rampersad, Lindsay Rupp, Dana Brooks, Dan White, Jess Tate, Rob S. MacLeod

Institutions: University of Utah, Northeastern University, University of Massachusetts Boston

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute of General Medical Sciences, National Institute of Biomedical Imaging and Bioengineering

Awards: Center for Integrative Biomedical Computing, Integration of Uncertainty Quantification with SCIRun Bioelectric Field Simulation Pipeline, Center for Integrative Biomedical Computing Legacy Transition

OpenAlex ID: W4311356603

Cites: 53

Cited by: 28

Related to: 10