中藥學的知識流傳千年，而自古以來，中醫古書就一直被拿來參考並且用於治療患者，無論是外傷或是內科雜病，近年來都有不少文獻提及中藥良好的治療效果，我們選擇權威性極高的《普濟方》當作資料分析的背景資料庫。 在先前的實驗中，已經成功透過細胞學實驗證實了利用Apriori關聯規則分析找出外傷藥核心模組的可行性。我們認為藥材-方劑網路圖搭配關聯規則分析的成效有限，網路圖中的方劑可能會影響到點的分布，於是我們將網路圖改成藥材-藥材網路圖並導入模塊化的概念重新計算金瘡、刺瘡、杖瘡門的核心模組，此套運算方式可以直接明確地分出不同的藥材族群，我們發現結果不僅與之前的實驗相符，甚至能看到更多有加減方可能性的藥物存在。於是，我們選了瘰?門、癰疽門、痔漏門、諸蟲獸傷門這些同為外傷類的資料以及內科雜症中的諸痺門資料作比較。最後，我們發現各門之間的核心藥物組合有一定的差別性，另外也能看出藥材組合的方向，像是針對症狀不同時期的藥物以及治療相同症狀的替代藥物等，而諸痺門在《普濟方》中原本就有分類，我們在比對之後發現不同種類的痺症也有不一樣的核心模組，往後可期待這套方法更成熟時，可以更迅速且明確地找出新奇的模組。 ;The knowledge of Traditional Chinese Medicine (TCM) has been handed down for thousands of years. In recent years, there have been many documents mentioning the good therapeutic effects of Traditional Chinese Medicine, whether it is trauma or internal diseases. We use "Pu-Ji Fang" as database for data analysis. In previous experiments, cytology experiments have successfully confirmed the feasibility of using Apriori association rule analysis to find the drug-related modules. We believe that the effect of the drug-to-prescription network diagram with association rule analysis is limited, and the prescriptions in the network diagram may affect the distribution of nodes, so we changed the network diagram into a drug-to-drug network diagram and introduced the concept of modularity. Recalculate the core modules of Jin-Chuang-Phylum, Zhang-Chuang-Phylum, and Chih-Chuang-Phylum data, and we found that the results are not only in line with previous experiments, but even more possibilities for addition and subtraction can be seen. Therefore, we selected other data for comparison. We found that there are certain differences in the drug combination between each Phylum. In the future, we can expect that when this method is more precise, we can find the novel modules more quickly and clearly.
