Fuzzy Modeling of Optimal Initial Drug Prescription

This paper focused on a fuzzy approach in migraineurs drug prescription. There is no denying that medicine data records are mixed with uncertainty and probability so all methods concerning migraine drug prescription should be considered in fuzzy environment and designed according to the knowledge of an expert specialist. Overall it seems logical to propose fuzzy approach which could cover all uncertainties. According to fuzzy rule base concepts which are obtained by co-operation of an expert, fuzzy control has been used to model drug prescription system. Finally clinical experiences are used to confirm efficacy of drug prescription model. It should be considered that in most cases this disease may cause health social problems as well as financial obstacle for the companies and in upper stage for governments as a result of reduce work time among the employees. So prescribing optimal initial drug to make the disease stable is obligatory. With the corporation of experts 25 rule bases are introduced and tested on 50 different patient records, result shows that the accuracy of model is 94 % \(\pm \) 5.5 with r-square equal to 0.9148.