Pharmaceutical Decision Support System
Marcus Ågren · Lund University Publications Student Papers (Lund University) · 2009
Choosing a suitable combination of pharmaceuticals is today done by manually examine all possible interactions and then come to a decision. The number of interactions grows rapidly with the number of substances involved, thereby complicating the work of finding an optimal combination. In this thesis I conduct a feasibility study on a pharmaceutical decision support system, capable of compiling interactiondata and compare combinations. Through the analysis of interaction rules, I am able to present a solution where a fuzzy logic expertsystem is used.