密度聚类算法在卵巢早衰古代方用药分析中的应用

The Application of Density-Based Clustering Algorithm in the Ancient Prescription's Medication Analysis for Premature Ovarian Failure

目的探寻密度聚类算法在卵巢早衰古代方用药分析中的应用情况,进而分析卵巢早衰古代方用药规律。方法采用基于密度聚类的optics算法。结果生成簇排序结果图,根据不同可达距离,输出两组结果类簇。结论运用optics算法,通过设置不同的可达距离阈值,可以有效得出古代方中部分相似药物间的协同与替换作用,或探寻出古方中某些非临床常用药物对现代卵巢早衰疾病的作用,为临床治疗提供新的思路及方法。

Objective To explore the concrete details about the application of density-based clustering algorithm in the ancient prescription’s medication analysis of premature ovarian failure and then to analyze the medication rule in ancient prescription’s medication analysis. Methods The optics algorithm based on density-based clustering algorithm. Results The outcomes are generated a cluster sorting graphic and output two sets of clusters which are according to the different reachable distance. Conclusion Based on the optics algorithm,this article has found the coordination and substitution of some similar medicine in the ancient prescription,the impact some non-clinical medicines can have on premature ovarian failure and the new idea and methods for clinical treatment by setting different thresholds of reach distance.