Abstract
Complex computational models of biological systems are developed to
simulate and emulate various biological systems, but many times, these models are
subjected to doubt due to inconsistent model verification and validation. The
verification and validation of a model are important aspects of model construction.
Moreover, the techniques used to perform the verification and validation are also
important as the improper selection of the verification and validation techniques can
lead to false conclusions with profound negative effects, especially when the model is
applied in healthcare. The objective of this chapter is to discuss the current verification
and validation techniques used in the analysis and interpretation of biological models.
This chapter aims to increase the efficiency and the peer acceptability of the biological
prediction models by encouraging researchers to adopt verification and validation
processes during biological model construction.