
基本信息:
- 专利标题: 一种基于加权PageRank算法的方剂药物属性定量方法及系统
- 专利标题(英):Prescription drug property quantifying method and system based on weighted PageRank algorithm
- 申请号:CN201510398736.3 申请日:2015-07-08
- 公开(公告)号:CN104933320A 公开(公告)日:2015-09-23
- 发明人: 谢永红 , 胡小静 , 张德政 , 杨智勇 , 阿孜古丽·吾拉木
- 申请人: 北京科技大学
- 申请人地址: 北京市海淀区学院路30号
- 专利权人: 北京科技大学
- 当前专利权人: 北京科技大学
- 当前专利权人地址: 北京市海淀区学院路30号
- 代理机构: 北京市广友专利事务所有限责任公司
- 代理人: 张仲波
- 主分类号: G06F19/00
- IPC分类号: G06F19/00
The invention provides a prescription drug property quantifying method and system based on a weighted PageRank algorithm. The quantifying method and system are beneficial for improving the accuracy of a drug property PR value. The method includes the steps that drug properties of all drugs in a prescription are decomposed to determine the drug properties of the prescription and weights of the drug properties; the drug properties of the prescription serve as drug property nodes in a network link structure, and according to interaction among the different drug properties, a network link structure graph among the drug property nodes is built; according to the determined weights of the drug properties, the weighted PageRank algorithm is used for iterating the drug property nodes to determine the drug property PR value. The prescription drug property quantifying method and system are suitable for the technical field of drug property quantifying.
公开/授权文献:
- CN104933320B 一种基于加权PageRank算法的方剂药物属性定量方法及系统 公开/授权日:2018-01-02