Proc The 1st international workshop on innovative simulation for healthcare, I-WISH. W. Backfrieder, A. Bruzzone, F. Longo, V. Novak, J. Rosen (eds), Rende (CS), Italy, 81-6, 2012.Keywords:
Global sensitivity analysis, Global parameter identifiability, Baroreflex regulation of heart rate, Head-up tilt
Mathematical modeling has long been used for prediction of biological phenomena, but practical use of mechanistic models for data analysis is not as common. One of the major obstacles is the lack of practical methods for model based data analysis. This study presents methods for predicting global sensitivities of model outcomes to model parameters and shows how global sensitivities can be used for predicting sets of globally identifiable parameters. These methods will be applied to analyze dynamics in a model designed to predict baroreceptor regulation of heart rate during head-up tilt (HUT).