Development of a knowledge-based simulator for haemodynamic support of septic shock

The authors´ previous work has demonstrated self-learning fuzzy control as a powerful, flexible and versatile control technique which adapts itself easily to changing patient conditions. It has never previously been applied to multiple input/output parameter controllers in medicine. The authors are investigating this technique for providing automated control of drug infusions supporting the cardiovascular and renal systems of patients in `septic shock´. To construct the control system the authors are using this stratagem: modelling the shocked patient; verification of the model; validation of the model; controller strategy development in simulation using the validated model; physical control system development; clinical trials. Here, the authors highlight their validation techniques