Today, diagnostic decisions about pre-diabetes or diabetes are made using static threshold
rules for the measured plasma glucose. In order to develop an alternative diagnostic
approach, dynamic models as the Minimal Model may be deployed. We present a novel
method to analyze the identifiability of model parameters based on the interpretation of the
empirical observability Gramian. This allows a unifying view of both, the observability of the
system's states (with dynamics) and the identifiability of the system's parameters (without …