| 基于聚类优化算法的中医治疗高血压用药规律分析 |
| 投稿时间：2016-08-23 点此下载全文 |
| 引用本文：宋欣霞,金卫.基于聚类优化算法的中医治疗高血压用药规律分析[J].医学信息学杂志,2016,37(11):51-54 |
| 摘要点击次数: |
| 全文下载次数: |
|
|
| 中文摘要:在介绍几种聚类算法概念的基础上，提出优化的K-means算法，将其用于分析2000条中医治疗高血压临床数据，得到不同的证候所对应的8种用药组合。结果显示优化后的K-means算法在保证聚类质量的前提下，提高了算法运算速率，在性能上有显著的优越性。 |
| 中文关键词:K-means算法 高血压 集群 迭代 用药规律 |
| |
| Analysis on the Drug Rule for Traditional Chinese Medicine Treatment of High Blood Pressure Based on Clustering Optimization Algorithm |
|
|
| Abstract:Based on the introduction of the concepts of several clustering algorithms, the paper puts forward the optimized K-means algorithm, applies it to the analysis on 2 000 pieces of clinical data about Traditional Chinese Medicine(TCM) treatment of high blood pressure, and gets 8 corresponding drug combinations of different symptoms. Through the result, on the premise of guaranteeing clustering quality, the optimized K-means algorithm improves the arithmetic speed of the algorithm, and is provided with obvious superiority of performance. |
| keywords:K-means algorithm High blood pressure Cluster Iteration Drug rule |
| 查看全文 查看/发表评论 下载PDF阅读器 |
