隨著藥物研發技術的日益精良，藥品的多樣與新穎有逐漸提升的趨勢，在免除人類疾病痛苦上有其實質的助益。然在藥物愈來愈多的情況下，藥物之間的關係也將更為複雜，多種藥物合併使用所產生的交互作用，其帶來的危險性將是顯然易見的。基於病患的用藥安全，事前的藥物交互作用發現是極為迫切且重要的。

有鑑於此，本研究利用模糊正規概念分析(Fuzzy Formal Concept Analysis)於資料分析程序中，協助藥學領域的學者或從業人員明瞭藥品之間的概念與關聯大小，並使有興趣在探索藥物隱性知識的研究員，透過藥物知識架構引導，使其推論藥物交互作用時更有判斷依據，藉以提升用藥安全水平。

The improvements in pharmaceutics, accompanied by medicinal and technological advances, have expanded the diversity of pharmaceuticals to a great extent, turning the world of pharmacology into a complex web of drugs, their interactions, and most important of all, their effects on patients. The increasing number of existent pharmaceuticals inevitably complicates the interactions between them, revealing the importance of their thorough understanding in order to prevent possible pathogenic symptoms. This is emphasized by the seriousness of drug misuse and the related consequences.

This paper utilizes Fuzzy Formal Concept Analysis in the process of medicinal data analysis to uncover the ongoing connections between the formal concepts and the strengths of these relationships. The tacit knowledge extracted helps experts have a better insight of the pharmaceuticals and the possible drug interactions, consequently improving their usage in terms of effectiveness and reducing mistreatment.

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