Practical identifiability and uncertainty quantification of a pulsatile cardiovascular model.
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical biosciences"
DOI: 10.1016/j.mbs.2018.07.001
Abstract: Mathematical models are essential tools to study how the cardiovascular system maintains homeostasis. The utility of such models is limited by the accuracy of their predictions, which can be determined by uncertainty quantification (UQ). A… read more here.
Keywords: uncertainty quantification; model; identifiability uncertainty; practical identifiability ... See more keywords
Lack of practical identifiability may hamper reliable predictions in COVID-19 epidemic models
Sign Up to like & getrecommendations! Published in 2022 at "Science Advances"
DOI: 10.1126/sciadv.abg5234
Abstract: Compartmental models are widely adopted to describe and predict the spreading of infectious diseases. The unknown parameters of these models need to be estimated from the data. Furthermore, when some of the model variables are… read more here.
Keywords: reliable predictions; practical identifiability; identifiability; model ... See more keywords
Practical Identifiability Analysis and Optimal Experimental Design for the Parameter Estimation of the ASM2d-Based EBPR Anaerobic Submodel
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/9201085
Abstract: Identifiability analysis is a precondition for reliable parameter estimation. Building on previous work on structural identifiability, this paper focuses on the practical identifiability and optimal experimental design (OED) of the EBPR anaerobic submodel. The nonnegative… read more here.
Keywords: parameter estimation; optimal experimental; identifiability; practical identifiability ... See more keywords
An in-silico analysis of experimental designs to study ventricular function: A focus on the right ventricle
Sign Up to like & getrecommendations! Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1010017
Abstract: In-vivo studies of pulmonary vascular disease and pulmonary hypertension (PH) have provided key insight into the progression of right ventricular (RV) dysfunction. Additional in-silico experiments using multiscale computational models have provided further details into biventricular… read more here.
Keywords: function; silico; practical identifiability; analysis ... See more keywords