应用并行化K-means优化算法探究中医治疗高血压用药规律 |
修订日期:2017-04-05 点此下载全文 |
引用本文:宋欣霞,金卫.应用并行化K-means优化算法探究中医治疗高血压用药规律[J].医学信息学杂志,2017,38(6):71-76 |
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中文摘要:介绍并行化相关概念,包括Mapreduce编程框架以及Hadoop分布式文件系统,对传统K-means算法进行优化,建立并行化K-means聚类模型,探究中医治疗高血压用药规律,挖掘出中医辨证治疗高血压的8组用药组合,结合中医理论分析,验证结论真实性。 |
中文关键词:并行化 K-means算法 高血压用药 |
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Exploration on the Medication Rules of Traditional Chinese Medicine for Hypertension Treatment through Parallel K-means Optimization Algorithm |
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Abstract:The paper introduces relevant concepts of parallelization, including Mapreduce programming frame and distributed document system of Hadoop, optimizes the traditional K-means algorithm, establishes parallel K-means clustering model, explores the medication rules of Traditional Chinese Medicine(TCM) for hypertension treatment, digs into 8 groups of prescriptions for differentiation treatment of hypertension through TCM, verifies authenticity of the conclusion by combining the theories of TCM. |
keywords:Parallelization K-means algorithm Anti hypertension drugs |
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