Evaluating New Drugs by Fuzzy Inference System

Abstract

Knowledge of medicinal chemical compounds is complex and evidence-based. In this paper, knowledge of drugs was extracted from experts, and evaluated with sophisticated computation techniques to perform critical decision making. Fuzzy inference system plays an important role in the artificial intelligence arena. So this paper utilized Mamdani fuzzy inference system to evaluate new drug candidates in efficient way by considering not only safety and efficacy, but also the hottest issue －cost. Though there have been studies relevant to decision making regarding drugs in medical institutions, none have utilized fuzzy computation approaches. The process this paper utilized here was also based on consensus of Drugs and Therapeutic Committee. Further more, the verification and comparison of this paper provide an intuition for system development and further researches.