| 数据挖掘技术在药品疗效上的应用 |
| 修订日期：2010-01-27 点此下载全文 |
| 引用本文：魏鲁霞.数据挖掘技术在药品疗效上的应用[J].医学信息学杂志,2010,(4):40-43 |
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| 中文摘要:针对药品不良反应数据的特点，以高血压用药硝苯地平为例，运用贝叶斯网络和判定树进行建模，通过处理病例数据库中大量历史数据，挖掘潜在知识，并以自然语言形式反映出来。实验结果表明数据挖掘技术在药品疗效研究方面应用十分有利，对临床药品研究具有良好的指导作用。 |
| 中文关键词:数据挖掘 硝苯地平 贝叶斯网络 判定树 不良反应 |
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| Application of Data Mining Technology in Drug Efficacy |
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| Abstract:According to the characteristics of adverse drug reaction data,taking nifedipine as an example,which is used for high blood prossure, the paper builds models using Bayesian network and decision tree, processes the huge amount of historical data from medical case database, mines the potential knowledge, and displays the results in natural language. The experimental result reveals that data mining technology is very useful in research of drug efficacy, and it has a nice guiding role in clinical pharmacies research. |
| keywords:Data mining Nifedipine Bayesian network Decision tree Adverse drug reaction |
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