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| 数据挖掘技术在药品疗效上的应用 | |
| 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, 31(4): 40-43 |
| 作者姓名： | 魏鲁霞 |
| 作者单位： | 南京中医药大学图书馆,南京,210046 |
| 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. |
| 关 键 词： | 数据挖掘 硝苯地平 贝叶斯网络 判定树 不良反应 |
| 修稿时间： | 2010-01-27 |
Application of Data Mining Technology in Drug Efficacy |
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| WEI Lu-xi. Application of Data Mining Technology in Drug Efficacy[J]. Journal of Medical Informatics, 2010, 31(4): 40-43 | |
| Authors: | WEI Lu-xi |
| Affiliation: | WEI Lu-xia,Library of Nanjing University of Traditional Chinese Medi- cine,Nanjing 210046,China |
| 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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