Before revision:  Here}  , we use instead approximate Bayesian computation (ABC) to calibrate the parameters in a data-driven automatic manner.
After revision:  Here} One of the main intuition is that these parameters are precisely the information needed for a pathological test identifying CVD captured and that they capture the inter-individual variability. Following this intuition, here we devise a Bayesian inferential scheme for estimation of these parameters. As the likelihood function of the numerical model is intractable due to the complex stochastic nature of the model , we use instead approximate Bayesian computation (ABC) to calibrate the parameters in a data-driven automatic manner.